Find Your Next AI &amp; Tech Job

Full-timeChevy Chase, US£130,000 - 260,000

A leading insurance company is seeking a Staff Applied Research Scientist to lead AI/ML initiatives that enhance marketing solutions and customer engagement. The role combines technical leadership and mentorship, driving high-impact AI projects in a collaborative environment. The ideal candidate should have extensive experience in applied AI, strong proficiency in Python and SQL, and the ability to communicate complex topics effectively to diverse stakeholders. This opportunity promises a significant impact within the organization.

AI Solutions Architect — Mission-Critical National Security

Spear AI • Washington, US

Full-timeWashington, US£60,000 - 80,000

A leading technology firm in Washington is seeking a Mission Engineer to engage with clients and leverage AI for national security solutions. The role requires active Top Secret clearance and a strong software engineering background, along with skills in AI/ML and data management. Responsibilities include translating mission needs into technical solutions and ensuring impactful product development. This is an opportunity to work within a cutting-edge AI Task Force, driving innovation in national security technology. #J-18808-Ljbffr

AI Solutions Architect - Customer Success & Adoption

IBM Computing • Washington, US

A leading technology firm seeks a Customer Success Manager Architect (CSM) focused on AI. This role involves helping clients maximize the value of IBM’s AI products, engaging with various stakeholders, and developing tailored AI solutions. Candidates should have a strong technical background, particularly in data science and programming with Python. Excellent communication skills and the ability to translate complex concepts for clients are essential. This position may require up to 25% travel and is based in multiple IBM offices, including Washington DC. #J-18808-Ljbffr

Lead AI Solutions Architect

Booz Allen Hamilton • McLean, US

Job Number: R0233304 AI Solutions Architect, Lead The Opportunity: Design and implement effective artificial intelligence (AI) solution architecture and strategy utilizing approaches of various AI technologies and met hods to address clients' business problems and needs, while complying with the organization's strategies and business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts. Contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies. You Have: • 5+ years of experience with AI, data science, machine learning engineering, and sof tware engineering • 5+ years of experience developing technical solutions in Python, C++, or C# • Experience with autonomy or computer vision project work • Experience with deep learning computer vision, including transformer-based models such as DINO or CLIP • Experience leading sof tware and AI projects • Ability to obtain a Secret clearance • Bachelor's degree Nice If You Have: • Experience with embedded systems programming in C, C++, or Rus t • Experience with GPU programming, including CUDA or RAPIDs • Knowledge of modern sof tware design patterns, including micro-service design, and orchestration in Kubernetes deployment • Ability to gather requirements from customers and lead Agile teams • Master's degree in CS or Statistics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information . Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

AI Solutions Architect, Lead

Booz Allen Hamilton, Inc. • McLean, US

AI Solutions Architect, Lead The Opportunity: Design and implement effective artificial intelligence (AI) solution architecture and strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization's strategies and business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts. Contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies. You Have: • 5+ years of experience with AI, data science, machine learning engineering, and software engineering • 5+ years of experience developing technical solutions in Python, C++, or C# • Experience with autonomy or computer vision project work • Experience with deep learning computer vision, including transformer-based models such as DINO or CLIP • Experience leading software and AI projects • Ability to obtain a Secret clearance • Bachelor's degree Nice If You Have: • Experience with embedded systems programming in C, C++, or Rust • Experience with GPU programming, including CUDA or RAPIDs • Knowledge of modern software design patterns, including micro-service design, and orchestration in Kubernetes deployment • Ability to gather requirements from customers and lead Agile teams • Master's degree in CS or Statistics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Federal AI Solutions Architect — Pre-Sales (Claude)

Anthropic • Washington, US

A tech-driven organization based in Washington DC is seeking a Pre-Sales Architect to guide federal agencies in integrating AI solutions. This role requires 5+ years in technical customer-facing positions and exceptional communication skills to articulate complex technical concepts to diverse stakeholders. Compensation ranges from $240,000 to $270,000 annually, and a Bachelor's degree is required. Candidates will work closely with sales and engineering teams to ensure successful AI deployments. #J-18808-Ljbffr

AI Solution Architect

T-Rex Solutions • Washington, US

Full-timeWashington, US£160,000 - 210,000

T-Rex Solutions is seeking an experienced and driven AI Solution Architect to play a crucial role in our Business Development and Growth efforts, with a primary focus on technical solution architecture design and buildout, as well as Federal proposal and solution writing. In this dynamic position, you will work closely with clients to identify their technical pain points and needs, creating comprehensive end-to-end Enterprise solutions that lead to successful sales closures and long-term partnerships. Responsibilities: • Develop tailored end-to-end AI/ML solutions to address client needs. • Spearhead technical solutioning for proposals, collaborating with cross-functional teams to deliver comprehensive solutions aligned with customer requirements. • Design, implement, and support AI/ML-driven solutions, including generative AI, predictive analytics, and automation workflows. • Advise customers on AI solution architectures, model selection, data readiness, and integration with existing cloud environments. • Develop proof‑of‑concepts (POCs) showcasing AI capabilities such as LLMs, chatbots, intelligent search, and automated decision systems. • Craft compelling responses to requests for proposals (RFPs) and requests for information (RFIs) from prospects and customers. • Deliver customized product demonstrations for potential customers and partners (virtually and in-person). • Offer in-depth technical support to the business development team and clients throughout the sales cycle. • Assess customers' technical challenges and needs, devising customized selling strategies. • Create and present internal AI solution materials for stakeholders, customers, and senior executives. • Collaborate with clients to identify problems and suggest appropriate solutions. • Analyze competing products and provide competitor insights to marketing and development teams. • Generate, qualify, manage, and offer technical assistance to facilitate deal closures. Requirements: • Familiarity with AI platforms and tools (e.g., Amazon Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face, LangChain). • Hands-on experience implementing AI/ML solutions in production environments, including model deployment, monitoring, and optimization. • Experience translating business problems into AI use cases and delivering measurable outcomes. • Technical writing experience in proposals and white papers (samples requested). • Prior experience in a technical, customer-oriented position, preferably as a consultant for multiple clients. • Experience working with Federal customers and agencies (e.g. DOD, FedCiv, Intel, etc) • BS Degree in a technical field and 10+ years of professional experience. • Excellent presentation skills and experience delivering complex technical and sales-oriented presentations. • Strong time management skills, able to juggle multiple initiatives and deadline-driven workloads while consistently providing outstanding customer service. Desired Skills: • Certification and/or Specialty Certifications in AI. • Active Secret Clearance or higher. • Master's Degree in a technical field T-Rex Overview Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering. T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits. T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. In compliance with pay transparency guidelines, the annual base salary range for this position is $160,000 - $210,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the

AI/ML Solutions Architect

Robotics Technologies • Washington, US

• Job ID: J51875 • Job Title: AI/ML Solutions Architect • Location: Washington D.C, DC • Duration: 12 Months + Extension • Hourly Rate: Depending on Experience (DOE) • Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD • Client: To Be Discussed Later • Employment Type: W-2, 1099, C2C Job Description : The AI/ML Solutions Architect will be instrumental in designing and implementing end-to-end artificial intelligence and machine learning solutions for a key Randstad client in the DC area. This role requires an expert-level blend of advanced AI/ML model development (including Generative AI/LLMs, deep learning, and traditional ML), modern software engineering practices, and robust MLOps principles. The Architect will drive platform adoption using Databricks, ensure models are securely deployed via cloud platforms (AWS/Azure) using Docker/Kubernetes and FastAPI, and serve as a technical leader and mentor to junior team members, ultimately enabling self-service capabilities and accelerating the business adoption of scalable AI/ML solutions. Responsibilities Architect and Develop AI/ML Solutions: Design, implement, and deploy advanced supervised and unsupervised models (regression, classification, clustering, time-series forecasting, boosting methods) and complex neural networks (CNNs, RNNs, LSTMs). Lead Generative AI Initiatives: Develop and integrate solutions powered by LLMs and open-source foundation models, applying expertise in prompt engineering, fine-tuning techniques (LoRA, PEFT), and model optimization for performance, latency, and cost. Implement MLOps and Deployment Pipelines: Manage the full model lifecycle and deployment strategy, including model serialization (Pickle, Joblib, ONNX), containerization with Docker and Kubernetes, and building secure, scalable endpoints using FastAPI and serverless functions. Champion Platform Enablement: Drive adoption and utilization of the Databricks platform to accelerate use case development, promote model automation, facilitate AutoML, and create reusable template-based solutions. Adhere to Software Engineering Excellence: Write highly efficient, maintainable Python code (advanced Python skills required), utilizing tools like JupyterLab and VSCode, and enforce Git version control and best practices for testing and quality assurance. Develop User-Facing AI Applications: Build front-end tools and prototypes using Streamlit alongside standard front-end technologies (HTML/CSS/JavaScript) to demonstrate AI capabilities to business users. Provide Technical Leadership & Mentorship: Collaborate effectively with cross-functional teams, mentor junior engineers and data scientists, and establish governance standards for data quality, solution accessibility, and business adoption of AI/ML practices. Qualifications Advanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML open-source libraries, including scikit-learn, PyTorch, pandas, polars, NumPy, and seaborn. Proven experience designing and deploying end-to-end AI/ML systems, with a strong emphasis on MLOps principles and tools (Docker, Kubernetes, Git). Deep expertise in developing and optimizing Generative AI solutions using LLMs and foundation models, including hands-on experience with fine-tuning (e.g., LoRA) and performance optimization. Expertise in cloud platform deployment and infrastructure management on major cloud providers (AWS and/or Azure). Strong functional knowledge of Databricks for data processing, platform management, and accelerating AI/ML development. Experience in data processing, feature engineering, advanced visualization, and communicating complex insights effectively through storytelling. Demonstrated Systems Thinking approach to problem-solving, with the ability to translate high-level business goals into secure, scalable, and viable technical architectures. Excellent communication, collaboration, and mentorship skills, with a track record of driving best practices and team improvement. Equal Opportunity Employer ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive

Senior Solutions Architect, AI

VirtualVocations • Alexandria, US

A company is looking for a Senior Solutions Architect, AI. Key Responsibilities Lead executive level discovery and solution workshops, crafting narratives and demos that connect challenges, solutions, and outcomes Build ROI tied business cases and competitive win strategies, while leading solutioning for complex RFPs Collaborate with Sales to define go-to-market strategies and develop enablement assets, ensuring delivery readiness Required Qualifications Deep experience in localization / globalization and enterprise content workflows Proven track record delivering AI enabled solutions in English and German or French Executive presence with persuasive storytelling skills tailored to stakeholder priorities Strong financial aptitude for creating competitive proposals and negotiating trade-offs End-to-end solution design experience across multi-system landscapes with strong API / integration design skills

Full-timeAlexandria, US

Field Solutions Architect, Applied AI, Cloud

Google • Washington, US

Full-timeWashington, US£123,000 - 176,000

The application window will be open until at least February 04, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. "Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: • Health, dental, vision, life, disability insurance • Retirement Benefits: 401(k) with company match • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks • Baby Bonding Leave: 18 weeks • Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Kirkland, WA, USA; Miami, FL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA. Minimum qualifications: • Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, SRE, or DevOps. • 3 years of experience in Python, and experience architecting scalable AI systems on cloud platforms. • Experience deploying conversational agents using code-based frameworks. • Experience deploying resources via Terraform or similar tools, and automating the setup of agents, functions, and networking. • Experience building full-stack applications that interact with enterprise IT infrastructures. Preferred qualifications: • Master’s degree or PhD in AI, Computer Science, or a related technical field. • Experience implementing multi-agent systems using frameworks like ReAct and self-reflection. • Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time. • Experience troubleshooting live, high-traffic systems during critical windows, and in developing and driving customer projects forward in a timely manner. • Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations. • Ability to build in real-time with customers utilizing modern generative AI tools, and travel up to 50% of the time. About the job As a Field Solutions Architect (FSA) in Applied AI, you are the "Agent Engineer" and the primary delivery arm for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the engineering life-cycle and the transition from the "Art of the Possible" to real-world business value and scalable, secure AI systems. Focused on leading technical delivery for Conversational AI pilots, you will establish the first Customer User Journeys (CUJs) for our largest customers at their sites, utilizing your understanding of software engineering, MLOps, and cloud infrastructure.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities • Serve as the lead developer for Conversational AI and Customer Experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable Retur

Artificial Intelligence Solution Architect

Booz Allen • Bethesda, US

Full-timeBethesda, US£99,000 - 225,000

Artificial Intelligence Solution Architect The Opportunity: The Artificial Intelligence Solutions Architect is responsible for working with clients on technology design and development activities to support digital solutions for enterprise Analytics, artificial intelligence (AI), and machine learning (ML) operations in tactical cloud environments, secure network communications, zero-trust architectures, and designing mission technology stacks for defense clients. They drive and lead the development lifecycle, assess available technologies to select the right solution for the client, and help ensure the successful development of the technology baseline and complete system design. In this role, you'll lead, manage, and grow multi-disciplinary engineering teams to accelerate an organization's ability to perform its mission and deliver rapid capability. You will leverage experience in healthcare management, delivery, regulation, research, or public health responses to define business problems and develop analytics solutions with a focus on operationalizing data analytics, ML models, and AI technologies. You'll organize and lead agile development teams in designing and deploying new software and modernizing outdated systems. In this role, you'll work within a motivated cross-functional team with backgrounds in Agile, data solutions, client collaboration, innovation, user experience, and enterprise IT strategy. You will lead a team of developers, cloud architects, data scientists, and analysts in developing advanced DevOps pipelines and digital solutions. You'll provide thought leadership, drive business growth within the market, and develop and maintain client relationships. You will take an active role in the development, mentoring, and coaching of a team of data scientists, cloud architects, data scientists, developers, and domain experts, work to actively enhance the range of the company, and play a lead role in attracting, developing, and retaining a world-class team of analytics professionals supporting the company's health AI strategy. Join us. The world can't wait. You Have: • 5+ years of experience with analytics and AI delivery in a advising or operational delivery role, including defining strategy, establishing client relationships, and delivering innovative solutions • 3+ years of experience managing development teams with disciplined processes for developing digital systems, DevOps, data analytics, machine learning, and change management • Experience in the application of data science and advanced data analytics to health or medical use cases, including structured, unstructured, or relational and data mining and ML techniques • Experience leading, developing, and mentoring staff at all levels • Experience building an internal capacity to deliver high-quality and highly innovative analytics services • Experience with project management, client relationship building, and executive communication • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements • Bachelor's degree Nice If You Have: • Experience defining cloud architectures • Experience leveraging existing cloud service providers, including selecting existing infrastructure-as-code and cloud services to build a client system • Experience with full-stack requirements generation and development • Ability to lead a multi-disciplinary technical team in defining a technology roadmap for military systems advancement • Ability to achieve on-time and on-budget delivery • Ability to operate effectively in a high-pressure, high-tempo, dynamic environment • Possession of excellent verbal and written communication skills to articulate with both technical and business partners • AI, ML, Data Engineering, or Cloud-based AI platform, including AWS, Azure, or Databricks, Certification Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s p

Senior Computer Vision Engineer

Geomagical Labs • US

About the position Geomagical Labs is crafting three-dimensional, AI-powered experiences for tens of millions of users around the world. In partnership with IKEA, our pioneering apps allow customers to scan photorealistic models of their indoor spaces, and interactively reimagine them with new furniture in life-like 3D. We have an opening for a Senior Computer Vision Engineer, with strong Python engineering skills, an analytical mindset, and a strong collaborative behavior – to join our Applied Research team. Responsibilities include researching, designing, coding, testing, and shipping Applied AI solutions. This position could be an opportunity to become an expert practitioner in the fast-moving field of AI. Responsibilities • Be a core team member of the Applied Research team – applying state-of-the-art technologies to our products (e.g. neural network integration & deployment). • Improve today’s auto-furnishing algorithms (results and performance), and lead new developments in home furnishing assistance (e.g. LLM integration). • Develop ML tooling to enhance the productivity and software quality of the research team. • Rapidly harness state-of-the-art ML models & algorithms, and convert them into meaningful proofs-of-concept (POCs) for study and evaluation. • Further develop promising POCs into robust, production-grade solutions for deployment at scale. • Help and coach our Applied Research teams to be more effective & efficient through better software engineering. Requirements • Strong expertise in Python. • Experience developing classical computer-vision algorithms and integrating vision-based neural networks. • Experience building resilient, low-latency, systems & pipelines. • Highly effective, high-EQ communication skills (verbal & written). Nice-to-haves • Entrepreneurial – Strong drive, growth mindset, lives Geomagical cultural values. • Analytical & data driven – Generates analyses & data to assess results. • Great teammate – Positive collaborator, brings out best outcomes from others. • Strategic – Sees the big picture, and creatively maps out solutions. • Reliable operator – In the details, good planner. • Fast learner – Curious & constantly learning. Not ashamed to ask questions/admit errors. Benefits • Base salary ranges from \$170,000 to \$200,000, determined by location, skill, and experience level. • Annual performance bonus, based on team and company OKR success. • Excellent health and retirement benefits. Full medical, dental, and vision coverage. • Strong people-first culture with generous PTO. • Opportunity to work in a dynamic team of successful serial entrepreneurs, software developers, computer vision & AI researchers, and graphics engineers. • The ability to build products and features from the ground up and put them into the hands of millions of people around the world. • Flexible location - team is distributed globally, with regular internet access and ability to overlap with US Pacific and Europe CET work hours.

Remote Computer Vision Engineer

SLR Search • Houston, US

Full-timeHouston, US£155,000 - 185,000

Join a remote-first AI company with generous equity to build 3D machine perception systems in C++ that replace hardware like LiDAR. Computer Vision Engineer Benefits - Starting Salary $155K - $185K - Equity Includes generous company stock options in a Series A company with revenue - Remote First Always with flexibility to work from anywhere in the US while working on a PST schedule - Comprehensive Medical, Dental, and Vision Insurance - Discretionary PTO policy empowering employees to recharge without guilt or micromanagement. - 401(k) w/ Employer Match Computer Vision Engineer Qualifications - Technical Core Expert in designing and writing production-quality code in C++ for embedded or real-time systems, including GPU optimization. - 3D Expertise Proven experience implementing 3D algorithms (such as VIO, SLAM, multi-view stereo, or 3D reconstruction) with tangible, deployed results. - Problem Solver Driven to analyze performance and failure modes of complex computer vision algorithms in real-world environments. - Mandatory Must be a US Citizen or Green Card Holder (US Person) to comply with ITAR project requirements.

Senior Computer Vision Engineer

Kronkite • Charlotte, US

Full-timeCharlotte, US£120,000 - 195,000

Senior AI Engineer — Real-Time Video Systems Location: Uptown Charlotte, North Carolina We are building a high-performance, GPU-accelerated video intelligence platform operating in latency-sensitive, production environments. This role is for a senior engineer who can independently architect, optimize, and scale real-time computer vision systems without supervision. You will own inference performance, model optimization, and production reliability end-to-end. This is not a research-only role. It is not a “train a model and hand it off” role. You will be responsible for making models fast, stable, and production-ready in live environments. If you thrive on squeezing maximum throughput from GPUs, designing resilient inference services, and making real systems perform under load, this will be a strong fit. What You’ll Own • Architect and optimize GPU-accelerated inference pipelines for high-volume video streams. • Drive performance tuning initiatives: batching strategy, frame stride, memory allocation, quantization, and hardware-level optimization. • Implement and refine object detection systems (YOLO-class architectures or equivalent) with temporal filtering and multi-frame logic. • Reduce false positives through tracking, smoothing, and sequence-aware event logic. • Own latency, throughput, and VRAM efficiency metrics — and improve them. • Integrate inference outputs into distributed, event-driven systems and cloud storage layers. • Design production observability: metrics, logging, alerting, and fault-tolerant execution paths. • Collaborate on dataset refinement and model iteration while maintaining a production-first mindset. • Contribute to containerized deployment and scalable runtime infrastructure. What We’re Looking For • 5+ years building and shipping production ML/computer vision systems. • Demonstrated ownership of performance-critical GPU inference pipelines. • Deep proficiency in Python, PyTorch, and OpenCV. • Strong hands-on experience with: • YOLO-class detection frameworks • ONNX and TensorRT optimization • CUDA-level performance tuning • Model quantization and throughput optimization • Solid understanding of video processing fundamentals: • Frame sampling strategies • Temporal filtering and tracking • Confidence calibration • Multi-stream aggregation • Experience deploying containerized workloads (Docker) in production. • Ability to independently diagnose bottlenecks and implement performance improvements without direction. Ideal Profile • You have shipped production systems that operate continuously under load. • You are comfortable profiling GPU memory and compute usage. • You understand the trade-offs between accuracy, latency, and cost. • You prefer building resilient systems over writing academic experiments. • You require minimal oversight and are comfortable defining technical direction within your domain. Core Technology Environment Python, PyTorch, OpenCV, YOLO-class models, ONNX, TensorRT, CUDA, async I/O frameworks, REST/gRPC APIs, event-driven systems, cloud storage/messaging platforms, Docker, production telemetry tools.

Engineering Manager II, Computer Vision - Applied AI

Uber • Seattle, US

Full-timeSeattle, US£232,000 - 258,000

About the Role Applied AI at Uber builds intelligent systems that power critical product experiences across the platform. As an Engineering Manager II - Computer Vision, you will lead a high-performing team of engineers developing state-of-the-art vision and multimodal systems that support large-scale, production-grade applications such as document intelligence, onboarding automation, transcription systems, and other visual AI workflows. You will be responsible for driving technical execution and long-term strategy across computer vision initiatives, partnering closely with Product, ML Infrastructure, and cross-functional stakeholders. This role requires strong technical depth in machine learning systems and distributed production environments, combined with exceptional people leadership and organizational impact. You will shape multi-year technical direction, elevate engineering standards, and ensure your team delivers reliable, scalable, and high-quality AI solutions that drive measurable business impact. What You Will Do: • Lead and manage a team of software and deep learning engineers, delivering high-quality computer vision products and scalable ML systems. • Develop and execute technical strategies that align with business objectives, translating complex product requirements into clear, multi-quarter roadmaps and platform architecture. • Collaborate cross-functionally with Product, ML Infra, Data, and partner engineering teams to drive technical innovation and deliver measurable impact across business units. • Plan, prioritize, and oversee execution, ensuring timely delivery through effective delegation, empowering tech leads, and maintaining high engineering standards. • Mentor, grow, and develop a world-class team of deep learning engineers, fostering a culture of continuous learning, operational excellence, and high performance. Basic Qualifications: • Bachelor's degree in Computer Science, Engineering, or equivalent technical background with exceptional demonstrated impact. • 12+ years of industry experience, including 3+ years leading high-performing engineering teams in large-scale distributed production environments. • Proven track record of delivering sustained business impact over multiple quarters through strong execution and organizational leadership. • Experience driving timely execution through effective delegation, empowering technical leads, and leading cross-team alignment by setting clear priorities and resolving trade-offs. • Demonstrated ability to translate complex business problems into multi-year technical strategies and cross-team platform architectures. Preferred Qualifications: • Strong experience training and optimizing large-scale vision or multimodal models, including Vision-Language Models (VLMs) or foundation models. • Deep understanding of computer vision techniques such as object detection, segmentation, OCR, document layout understanding, and point cloud processing. • Experience working with large-scale distributed systems and real-time data processing environments. • 3+ years of experience managing a team of senior engineers, with demonstrated strength in coaching, career development, and building inclusive, high-performing teams.Experience partnering closely with ML Infrastructure teams to scale training, evaluation, and deployment pipelines. For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

AI/ML Engineer - Build RAG + Computer Vision Backend

Upwork • US

We are seeking an experienced AI/ML Engineer to develop a backend system integrating Retrieval-Augmented Generation (RAG) and Computer Vision. The project involves creating an API-based solution without the need for training models. The ideal candidate will have a strong background in AI/ML technologies and experience with API development.

ContractorUS£20 - 40

Cleared Senior Software Engineer, Computer Vision, Federal

General Atomics • Chantilly, US

Full-timeChantilly, US£120,000 - 160,000

Are you a skilled and experienced Senior Software Engineer with a passion for computer vision? Do you have experience working in a federal environment and a security clearance? If so, we have an exciting opportunity for you at General Atomics! We are seeking a Cleared Senior Software Engineer to join our team and help develop cutting-edge computer vision solutions for our federal clients. With your expertise and dedication, you will play a crucial role in shaping the future of our nation's defense and security. Join us and be a part of a dynamic team of talented individuals who are committed to delivering high-quality and innovative solutions. Design and develop computer vision solutions for federal clients. Collaborate with a team of engineers to create cutting-edge software solutions. Utilize expertise in computer vision to provide innovative solutions. Work in a federal environment and adhere to all security protocols and procedures. Ensure all software projects meet quality and security standards. Conduct regular code reviews and provide feedback to team members. Stay up-to-date with the latest advancements in computer vision technology. Communicate effectively with team members and stakeholders to understand project requirements and provide updates on progress. Troubleshoot and debug software issues as needed. Mentor and guide junior team members to enhance their skills and knowledge. Participate in meetings and discussions to contribute ideas and suggestions for improving processes and procedures. Adhere to project timelines and deliver software solutions within set deadlines. Continuously strive for excellence in software development and seek ways to improve processes and increase efficiency. Keep track of project progress and report to project managers and other stakeholders. Maintain a high level of professionalism and confidentiality while working on sensitive projects. Represent the company in a positive and professional manner when interacting with clients. Follow all company policies and procedures related to software development, security, and project management. Proactively identify and address potential risks or challenges in project development. Provide technical support and guidance to clients as needed. Take ownership of assigned tasks and ensure their successful completion. General Atomics is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Computer Vision / Machine Learning Engineer

Gardner Resources Consulting, LLC • Boston, US

Computer Vision / Machine Learning Engineer (Contract) Contract Length: 6 months Work Arrangement: Hybrid (onsite 3 days/week in Greater Boston) Computer Vision / Machine Learning Engineer to support an active, production-focused initiative. This role is centered on improving detection and tracking accuracy for object-counting systems operating in real-world, high-throughput environments. The ideal candidate has hands-on experience building and deploying computer vision models, working with multimodal sensor data, and optimizing inference pipelines for edge deployment. What You’ll Work On • Enhancing object detection, segmentation, and tracking accuracy in operational systems • Developing and deploying models into validation and pre-production environments • Improving real-time performance and reliability on edge hardware Key Responsibilities • Model Development: Train, validate, and deploy computer vision models, with an emphasis on instance segmentation • Tracking & Fusion: Implement tracking approaches that combine color and depth data to maintain object persistence across frames • Data Quality: Support data curation efforts and audit external annotations to ensure high-quality ground truth • Performance Optimization: Tune inference pipelines for low-latency execution on edge platforms Technical Environment • Computer Vision & ML: Instance Segmentation, Object Tracking • Sensor Data: RGB + Depth (basic multi-sensor fusion) • Edge & Optimization: NVIDIA-based edge hardware, TensorRT or similar acceleration tools Qualifications • Proven experience delivering production-grade ML or CV systems • Strong software engineering fundamentals (version control, testing, CI/CD) • Experience deploying models beyond experimentation into real environments • Ability to meet strict accuracy and performance benchmarks • Comfortable working within cloud-only data environments with controlled access policies Nice to Have • Experience optimizing models for edge or embedded systems • Familiarity with real-time or near–real-time vision pipelines • Background in industrial, robotics, or high-volume operational settings

ContractorBoston, US

R&D Solutions Engineer (Transportation Simulation & Computer Vision)

Leidos • Beltsville, US

Description Are you interested in shaping the future of transportation? Consider joining the Leidos team operating FHWA’s Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and adoption of emerging technologies, including automation and communication in vehicles and on the roadside. Learn more about: • The Leidos Surface Transportation group: https://www.leidos.com/markets/energy/transportation https://www.leidos.com/markets/energy/transportation/surface-transportation-research • The Saxton Transportation Operations Laboratory: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL Location: This role will be expected to work full-time at the customer site in McLean, VA Candidates MUST: This position requires candidates be legally authorized to work in the United States without employer sponsorship AND be currently located in the United States for the current three consecutive years and be eligible for a Public Trust Clearance Position Overview The R&D Solutions Engineer will be part of the Surface Transportation Group within Leidos, a nationally recognized leader in advancing transportation safety, operations, and innovation. The Surface Transportation Group partners with federal, state, and local agencies to deliver next-generation solutions in intelligent transportation systems, connected and automated vehicles (CAVs), traffic operations, human factors research, and transportation safety. Leidos has played a central role in shaping the future of mobility, including developing national standards for infrastructure-to-vehicle communications, advancing traffic simulation and modeling, and supporting the U.S. Department of Transportation’s vision of zero roadway fatalities. The position will work with external organizations – including state and local Departments of Transportation (DOTs) – to identify how computer vision technologies can improve transportation safety and operations and to create business development opportunities in these areas. focus on connected and automated vehicle (CAV) technologies, V2X deployments, advanced traffic management, and technology transfer. The successful candidate will combine strong principal investigator skills with technical depth in Computer vision, stakeholder engagement, and simulation testing. This position requires excellent communication skills, the ability to manage complex, multi-stakeholder projects, and a passion for advancing transportation innovation. Key Responsibilities • Develop and execute strategies for communications, outreach, and technology transfer. • Lead stakeholder engagement across public, private, and research sectors by translating needs into actionable technical and programmatic requirements, and serve as a trusted liaison aligning research, deployment, and policy objectives. • Serve as primary liaison with clients, partners, and stakeholders (DOTs, FHWA, MPOs, industry). • Prepare and deliver high-quality technical reports, presentations, and documentation; ensure risk identification, mitigation, and quality assurance across all deliverables. • Support business development and technology transfer by contributing to proposals, advancing communities of practice, and transitioning research outputs into real-world deployment and operational use. • Execute innovative solutions involving the development and integration of ITS, CDA, and V2X/CV applications through the implementation of cutting-edge and emerging technologies. • Lead delivery of software and system engineering components that incorporate object recognition and automation for transportation applications, ensuring solutions meet both technical requirements and compliance standards. • Serve as a technical lead on medium-to-large, complex projects in partnership with state and local Departments of Transportation (DOTs), providing oversight on design, development, and delivery. Required Education & Experience • Master’s degree with 5+ years of relevant engineering degree; OR Bachelor’s degree with 7+ years of experience transportation technology. • Several years of experience with object recognition and automation in the transportation/automotive domain, including applied use in prototype and/or production systems with at least one of the following types of sensors: camera, lidar, and/or radar. • Hands-on expertise with programming languages such as Python, Java, or C++. • Experience with technology transfer, including training, outreach, and adoption strategies. • Familiarity with systems engineering principles and solutions architecture. • Excellent written and verbal communication skills, with ability to translate technical concepts for non-technical stakeholders. • Strong analytical and problem-solving skills. • Ability to work in a fast-paced environment with travel up t

Full-timeBeltsville, US

Lead Software Engineer – Computer Vision & Automation (Transportation)

Leidos • Lanham, US

Description Lead Software Engineer – Computer Vision & Automation (Transportation) Are you interested in improving and shaping the transportation industry with a group of intelligent and motivated individuals?  Consider joining the Leidos team operating the Federal Highway Administration (FHWA)’s Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts.  STOL champions the integration of emerging technologies such as cooperative driving automation (CDA) and Vehicle-to-Everything (V2X) to revolutionize transportation. Location: This role will be expected to work full-time at the customer site in McLean, VA Learn about STOL here: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL Candidates MUST: All applicants must be legally authorized to work in the United States with proof of legal status and be eligible for a Public Trust Clearance which includes three consecutive years in the United States within the last five years. Leidos is seeking a Lead Software Engineer – Computer Vision & Automation (Transportation) to join a highly successful team in researching and developing Connected and Automated Vehicle (CAV) technologies to shape the future of transportation. We are looking for someone who is motivated by variety, thrives in a challenging environment, seeks professional growth, and will be a key part of a team developing and extending a variety of applications and components to improve results that impact the transportation industry. The successful candidate will work with external organizations – including state and local Departments of Transportation (DOTs) – to identify how computer vision technologies can improve transportation safety and operations and to create business development opportunities in these areas. As new projects are created through these strategic partnerships, the successful candidate will lead these computer vision projects, which will aim to support and optimize the use of advanced transportation technologies such as intelligent transportation systems (ITS), CDA, C-V2X, CAV and AI-driven predictive modeling. Primary Responsibilities: • Lead delivery of software and system components that incorporate object recognition and automation for transportation applications, ensuring solutions meet both technical requirements and compliance standards. • Serve as a technical lead on medium-to-large, complex projects in partnership with state and local Departments of Transportation (DOTs), providing oversight on design, development, and delivery. • Support business development, including proposal writing and client engagement. • Break down program and project-level requirements into actionable engineering tasks, supporting efficient execution by the development team. • Collaborate with program managers, contracting officers, and agency stakeholders to align technical solutions with mission objectives and regulatory frameworks. • Develop and maintain documentation, reporting artifacts, and deliverables required by contract and oversight authorities. • Mentor engineers in applying advanced technologies, automation practices, and secure development principles to government solutions. • Provide accurate cost, schedule, and performance estimates for development tasks. Required Qualifications: • Master’s degree with 5+ years of relevant experience; OR Bachelor’s degree with 7+ years of relevant experience. • 5+ years of experience with object recognition and automation in the transportation/automotive domain, including applied use in prototype and/or production systems with at least one of the following types of sensors: camera, lidar, and/or radar. • Hands-on expertise with programming languages such as Python, Java, or C++. • Strong written and verbal communication skills with ability to collaborate across diverse teams. • Experience with at least one relational database management system (Oracle, MySQL, PostgreSQL, SQL Server, etc.). • Ability to work in a fast-paced, research-oriented environment with travel up to 10% for stakeholder engagement, testing, and site visits. • Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US). Preferred Qualifications: • Proven experience in business development, including identifying new market opportunities, building strategic partnerships, and driving portfolio/revenue growth. • Designing, training, and deploying computer vision models (e.g., YOLO, TensorFlow, PyTorch, Core ML, or OpenCV) for detection, classification, and tracking in real-world environments. • Implementing automation pipelines that integrate recognition systems into business or agency workflows, improving efficiency and accuracy. • Developing and optimizing algorithms for real-time recognition tasks across varied conditions (e.g., lighting, environmental, and sensor constraints).

Full-timeLanham, US

Data Scientist - Computer Vision, Data & Machine Learning

Amazon • Arlington, US

Full-timeArlington, US£136,000 - 184,000

Overview Description This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. Join a sizeable team of data scientists, research scientists, and machine learning engineers that develop computer vision models on overhead imagery for a high-impact government customer. We own the entire machine learning development life cycle, developing models on customer data: • Exploring the data and brainstorming and prioritizing ideas for model development • Implementing new features in our sizable code base • Training models in support of experimental or performance goals • T&E-ing, packaging, and delivering models We perform this work on both unclassified and classified networks, with portions of our team working on each network. We seek a new team member to work on the classified networks. Three to four days a week, you would travel to the customer site in Northern Virginia to perform tasking as described below. Weekdays when you do not travel to the customer site, you would work from your local Amazon office. You would work collaboratively with teammates to use and contribute to a well-maintained code base that the team has developed over the last several years, almost entirely in python. You would have great opportunities to learn from team members and technical leads, while also having opportunities for ownership of important project workflows. You would work with Jupyter Notebooks, the Linux command line, Apache AirFlow, GitLab, and Visual Studio Code. We are a very collaborative team, and regularly teach and learn from each other, so, if you are familiar with some of these technologies, but unfamiliar with others, we encourage you to apply - especially if you are someone who likes to learn. We are always learning on the job ourselves. Responsibilities • With support from technical leads, carry out tasking across the entire machine learning development lifecycle to develop computer vision models on overhead imagery • Run data conversion pipelines to transform customer data into the structure needed by models for training • Perform EDA on the customer data • Train deep neural network models on overhead imagery • Develop and implement hyper-parameter optimization strategies • Test and Evaluate models and analyze results • Package and deliver models to the customer • Incorporate model R&D from low-side researchers • Implement new features to the model development code base • Collaborate with the rest of the team on long term strategy and short-medium term implementation • Contribute to presentations to the customer regarding the team’s work Basic Qualifications • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • Bachelor's degree or above in computer science, machine learning, engineering, or related fields • Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 • Current, active US Government Security Clearance of Top Secret or above Preferred Qualifications • Master's degree or above in computer science, machine learning, engineering, or related fields • Knowledge of machine learning concepts and their application to reasoning and problem-solving • Experience working on multi-team, cross-disciplinary projects • Experience effectively communicating complex concepts through written and verbal communication • Experience in Linux, PyTorch, and Git workflows for MLOps Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington

Entry Level - Data Science, Artificial Intelligence, Operations Research, Math and Statistics

The MITRE Corporation • McLean, US

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE:  Thank you for your interest in MITRE’s Early Careers opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various roles across the company. If you are selected for consideration for a particular position a member of MITRE’s Early Careers recruiting team will reach out to you.  You can monitor your application status here: Workday (myworkdayjobs.com).   Job Description Data-driven, intelligent systems can bring immense computing power to bear, revealing insights across datasets too massive for humans to synthesize. We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines. As a recent graduate working in data science, operations research, math and statistics, you will work with a team to apply your knowledge and gain experience with one or more of the following:  • Data analysis and visualization • Augmented decision making and trusted analytics • AI architecture, strategy and policy • AI-enhanced decision making and insights • Generative AI and large language models • Machine learning operations • Applied math, statistics and optimization • Simulation and computational analytics • Systems modeling and analysis • Operational effectiveness and efficiency • Knowledge discovery • Next-gen data environments Basic Qualification • Must have a Bachelor’s, Master’s or PhD degree in Data Science, Artificial Intelligence, Math, Statistics or a related degree/program • Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods • Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting • Sustained excellence in academic performance Preferred Qualifications • Experience having applied data science, artificial intelligence, math, statistics or a related learning to an internship or research/lab position. • Experience retrieving data from databases and other systems and tools using queries, exporting capabilities, and other effective methods • Experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting • Proficiency in one or more of the following: Python (scikit-learn, NumPy, pandas, Jupyter), Scala/Java, C/C++/C#, Objective C; database design & development (SQL, Neo4J, MongoDB); AWS • Demonstrated interest in serving the public Clearance: In addition to passing MITRE’s employment background check, you may be submitted for a U.S. Government Security clearance.  This is determined by the Department of Defense’s adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $80,000 - $100,000 - $120,000 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regar

Senior Associate, Data Scientist - AI Software Engineering

Capital One • McLean, US

Senior Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle—including code generation, migration, troubleshooting, root-cause analysis, and documentation—leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation • Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. • Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. • A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) • Experience working with AWS • Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations • Demonstrated expertise in advanced model customization techniques—such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization • Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science San Jose, CA: $148,000 - $168,900 for Sr Assoc, Data Science Candidates hired to wo

Empleo de AI ML Engineer en NLP PEOPLE en Rockville

NLP PEOPLE • Rockville, US

Job Family: Software Development & Support Travel Required: None Clearance Required: Ability to Obtain Public Trust The National Library of Medicine (NLM) Office of Computer and Communications Systems (OCCS) is seeking an enthusiastic AI/ML Fresher to join our team. This role offers an exciting opportunity to work on cutting-edge projects that leverage artificial intelligence and machine learning to enhance biomedical information systems. You will collaborate with experienced engineers and data scientists to build intelligent solutions that improve interoperability, search, and user experience across NLM platforms. What You Will Do • Assist in developing and deploying AI/ML models for biomedical data processing and search optimization. • Support natural language processing (NLP) tasks, including entity recognition and semantic search. • Work on data preprocessing, feature engineering, and model evaluation under guidance from senior team members. • Collaborate with cross‑functional teams to integrate AI components into existing applications and APIs. • Document workflows, maintain code repositories, and contribute to testing and validation efforts. What You Will Need • Bachelor’s degree from an accredited university in Computer Science, Data Science, Artificial Intelligence, or a related field. • Minimum TWO (2)+ years of professional experience, preferably in AI/ML development or related software engineering role. • Strong foundation in Python programming and familiarity with libraries such as TensorFlow, PyTorch, or scikit‑learn. • Experience with machine learning concepts (classification, regression, clustering) and practical implementation. • Exposure to NLP techniques and libraries (e.g., NLTK, spaCy, Hugging Face Transformers). • Knowledge of data structures, algorithms, and version control (Git). • Excellent problem‑solving skills and eagerness to learn new technologies. • Must be eligible for a Public Trust clearance and complete federal background screening. What Would Be Nice To Have • Familiarity with AWS cloud platforms and containerization (Docker). • Understanding of RESTful APIs and web application integration. • Understanding of DevOps practices and CI/CD pipelines. • Coursework or projects involving AI in healthcare or biomedical domains. The annual salary range for this position is $74,000.00‑$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include • Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Parental Leave • 401(k) Retirement Plan • Group Term Life and Travel Assistance • Voluntary Life and AD&D Insurance • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts • Transit and Parking Commuter Benefits • Short-Term & Long-Term Disability • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Care.com annual membership • Employee Assistance Program • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) • Position may be eligible for a discretionary variable incentive bonus Guidehouse is an Equal Opportunity Employer – Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. #J-18808-Ljbffr

Full-timeRockville, US

Data Scientist GenAI Engineer/LLM-NLP

Capgemini • Seattle, US

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the job you’re considering We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights. Your Role • Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment. • Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. • Develop generative and predictive AI models (including NLP, computer vision, etc.). • Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions. • Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions. • Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. • Deploy AI models into production environments, ensuring scalability, performance, and optimization. • Monitor and troubleshoot deployed models and pipelines for optimal performance. • Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Required Qualifications: • Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. • Experience in model deployment, MLOps, model monitoring, and managing data/model drift. • Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). • Bachelor’s or greater degree in Machine Learning, AI, or equivalent professional experience. • Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. • Experience in model deployment, MLOps, model monitoring, and managing data/model drift. • Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick • Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca • Life and disability insurance • Employee assistance pro • Other benefits as provided by local policy and eligib

Full-timeSeattle, US

NLP / AI Engineer

Point72 • New York, US

Role/Responsibilities: We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc. Responsibilities include: - Exploring and combining rich internal and external textual datasets - Building GenAI solutions, leveraging both internal models and external APIs - Formulating research hypothesis to derive alpha - Post-training models for specific tasks - Benchmarking LLM approaches internal tasks We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact. Requirements: • Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline • Experience in NLP, particularly LLMs. • Proficient in Python, SQL and general software engineering principles (github, testing, etc.) • Data science stack familiarity • Interest in financial markets • Collaborative mindset About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Full-timeNew York, US

AI/ML Engineer (Language Models / NLP) with Security Clearance

Shield Consulting Solutions • Annapolis, US

Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. --------- • Telework: None Basic Requirements: • 2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. • B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required. • 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor's degree. Job Description: • Seeking an AI/ML Engineer, responsible for building, training, fine-tuning, and evaluating advanced language models. • The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development. • This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions. Key Responsibilities: • Knowledge and experience of Language models is required • Specific experience with Marian and multi-lingual model development • Knowledge of Computation Linguistics is a plus • Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning • Strong Java, C, C++ programming experience • Willingness to support occasional on-call duties is a plus Model Development & Training: • Build, train, and fine-tune machine learning models, particularly language models • Apply best practices in model training, tuning, and optimization. • Design and implement solutions for model performance improvement. Evaluation & Testing: • Conduct rigorous model evaluation, including performance analysis and benchmarking. • Perform error analysis, debugging, and model diagnostics to ensure quality and reliability. Model Deployment & Integration: • Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models. • Integrate machine learning models into production environments, ensuring seamless integration with other systems. Full-Stack Engineering: • Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end). • Collaborate with software engineers to build scalable and efficient deployment pipelines. Collaboration & Reporting: • Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions. • Document workflows, model design processes, and technical specifications. Technical Skills: • Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. • Expertise in model training, evaluation, and deployment. • Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3. • Experience in developing full-stack software applications (JavaScript, Python, Java, etc.). • Solid understanding of data structures, algorithms, and system design. Experience & Background: • Extensive experience in machine learning model development, including natural language processing (NLP). • Experience with model evaluation, optimization, and performance monitoring. • Proven experience in software engineering with strong coding skills. • Experience working in a government or defense-related environment is highly preferred. Additional Skills: • Experience with model versioning and management using tools such as MLFlow or Git. • Familiarity with containerization tools (i.e. Kubernetes). • Strong problem-solving and analytical skills. • Excellent communication and collaboration abilities. Nice to Have: • Experience with secure data handling and compliance requirements • Experience working with Large Language Models (LLMs) --------- • Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents • available day 1, 8% 401(k) employer match • immediate vesting. Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. This is a full time position

Full-timeAnnapolis, US

AI/ML Engineer (NLP & Generative AI)

ZAPNIX LLC • US

Job Overview We are seeking a dynamic and innovative AI/ML Engineer specializing in Natural Language Processing (NLP) and advanced machine learning techniques to join our cutting-edge technology team. In this role, you will develop, optimize, and deploy sophisticated AI models that enhance our data-driven solutions, leveraging big data platforms and state-of-the-art frameworks. Your expertise will drive the transformation of complex data into actionable insights, empowering our organization to stay ahead in a rapidly evolving digital landscape. This position offers an exciting opportunity to work on impactful projects utilizing the latest in AI and machine learning technologies. Duties • Design, develop, and implement NLP models for language understanding, sentiment analysis, and conversational AI applications using frameworks such as TensorFlow and other machine learning tools. • Conduct model training and fine-tuning on large datasets utilizing unsupervised learning techniques to improve accuracy and efficiency. • Build scalable data pipelines with ETL processes to extract, transform, and load data from diverse sources into optimized databases for analysis. • Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless deployment and performance optimization. • Utilize cloud services like AWS for model deployment, management, and scaling of machine learning applications in production environments. • Perform data mining and analysis using SQL, Python, R, SAS, Spark, Hadoop, Talend, and Looker to uncover insights that inform strategic decisions. • Design robust database schemas and implement database design best practices to support large-scale data storage needs. • Develop algorithms for natural language processing tasks such as entity recognition, language modeling, and semantic understanding. • Apply machine learning frameworks like TensorFlow and Spark MLlib to accelerate model development cycles while maintaining high standards of quality. • Engage in continuous research on emerging AI trends including quantum engineering applications relevant to natural language processing and big data analytics. Skills • Proficiency in programming languages such as Python, Java, C, VBA, Bash (Unix shell), with a strong focus on Python for machine learning workflows. • Extensive experience with cloud platforms like AWS for deploying scalable AI/ML solutions. • Deep understanding of NLP techniques including language modeling, text classification, entity recognition, and semantic analysis. • Expertise in machine learning frameworks such as TensorFlow, Spark MLlib, Hadoop ecosystem tools for big data processing. • Knowledge of unsupervised learning methods including clustering algorithms and dimensionality reduction techniques. • Strong background in database design principles along with hands-on experience with SQL databases and linked data concepts. • Familiarity with ETL tools like Talend for efficient data integration workflows. • Experience with analytics tools such as Looker for visualization and reporting of insights derived from complex datasets. • Ability to develop models for deployment into production environments ensuring scalability and reliability. • Understanding of quantum engineering principles as they relate to advanced AI applications is a plus. Join us if you’re passionate about pushing the boundaries of artificial intelligence through innovative NLP solutions! We value energetic problem-solvers eager to make a tangible impact by transforming raw data into powerful insights that shape the future of technology. Job Type: Contract Work Location: Remote

ContractorUS

Search and NLP Engineer - Virtual

Alight • US

Our story At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Our Values: Champion People – be empathetic and help create a place where everyone belongs. Grow with purpose – Be inspired by our higher calling of improving lives. Be Alight – act with integrity, be real and empower others. It’s why we’re so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work. Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight. Learn more at careers.alight.com. Support Alight’s Generative AI roadmap as an NLP Engineer by designing capabilities and solutions using LLMs and transformer-based architectures. Responsibilities • Evaluate base search appliance configurations and assess their impact on search results. • Review and test the latest Large Language Models and develop capabilities using LLM endpoints. • Design and implement new capabilities and configurations in the OpenSearch environment. • Identify opportunities to improve search and retrieval performance based on client needs. • Provide guidance on conversational AI and related strategy. • Communicate with stakeholders to understand requirements and provide updates. • Submit and track Maestro or JIRA requests. Requirements • 2–5 years of experience in AI technology roles focused on natural language models. • Working knowledge of process mapping and process design. • Experience with Scaled Agile (SAFe). • Strong problem‑solving skills with the ability to align business objectives with data insights. • Completion of a program of study typically requiring four years of post‑secondary education or equivalent. Alight requires all virtual interviews to be conducted on video. Flexible Working So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and “Top 100 Company for Remote Jobs” 5 years in a row. Benefits We offer programs and plans for a healthy mind, body, wallet and life because it’s important our benefits care for the whole person. Options include a variety of health coverage options, wellbeing and support programs, retirement, vacation and sick leave, maternity, paternity & adoption leave, continuing education and training as well as several voluntary benefit options. By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position. Our commitment to Inclusion We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful. At Alight, we welcome and embrace all individuals, regardless of their background, and are dedicated to creating a culture that enables every employee to thrive. Join us in building a brighter, more inclusive future. As part of this commitment, Alight will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact alightcareers@alight.com. Equal Opportunity Policy Statement Alight is an Equal Employment Opportunity employer and does not discriminate against anyone based on sex, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state, or local law. In addition, we take affirmative action to employ, disabled persons, disabled veterans and other covered veterans. Alight provides reasonable accommodations to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances,

NLP Engineer Mission-Critical Data Solutions

General Dynamics - IT • McLean, US

Full-timeMcLean, US£138,063 - 186,791

Position: NLP Engineer for Mission-Critical Data Solutions A leading technology and professional services company in McLean, VA, seeks a Natural Language Process Engineer to turn data into measurable outcomes and deliver innovative solutions. Candidates should have 8+ years of experience in text processing, machine learning, and Agile practices, with a relevant degree. The role offers a salary range of $138,063 to $186,791, plus comprehensive benefits including 401K matching and professional development opportunities. #J-18808-Ljbffr

Prompt Engineer (Remote)

IIIIIIUS • Reston, US

Description As a Prompt Engineer, you will be responsible for designing and implementing the natural language processing (NLP) and machine learning (ML) models that power our web3 documentation chatbot. You will work closely with our product and engineering teams to ensure that our chatbot provides accurate and helpful responses to user inquiries. Job Location: Remote, within the U.S. If you accept this position, you should note that ICF does monitor employee work locations blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections. Responsibilities • Design, develop, and implement custom generative LLMs (e.g. models similar to GPT ) and discriminative LLMs (e.g. models similar to BERT) • Create wrapper apps based on ChatGTP and other LLMs • Design, develop, and implement systems for AI alignment, Reinforcement Learning with Human Feedback (RLHF) instruction models, and AI guardrails. • Conduct rigorous tests to evaluate LLMs across standardized performance benchmarks and custom evaluations. • Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. • Translate technical findings into clear, actionable insights for a non-technical audience • Develop and maintain documentation and best practices for our NLP and ML models. • Collaboratively develop distributed training infrastructure to train and fine tune LLMs • Collaborating closely with our data science and core development teams, you will lead efforts in designing and implementing products from scratch • Collaborate with data science and core development teams to integrate AI technologies into both internal and external tools • Provide technical leadership in AI system audits, model accuracy improvements, and tool deployment • Fine-tune AI models based on real-world performance data and stakeholder feedback Minimum Qualifications: • US Citizenship is required by the federal government for this position • Must be able to obtain Public Trust clearance. • MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply. • Bachelor's degree in computer science or related field • 7 years of work experience as a software engineer or relevant experience • 3+ Strong background in natural language processing, machine learning, and data analysis Preferred Qualifications • 3+ years of experience with Python • 3+ Experience with Azure • Familiarity with popular machine learning (ML) frameworks such as TensorFlow and PyTorch. • Experience with generative large language model (LLM) fine-tuning and prompt engineering • Experience with deep learning frameworks • Ability to work with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners • Demonstrates passion for developing LLM-powered products whether that is through commercial experience or open-source projects you have worked on in your own time • Proven track record of shipping software and successfully released apps (please include names and links on your resume) • Experience in cloud technologies and edge computing relevant to AI deployment • Familiarity with Databricks (Delta Lake, notebooks, clusters, jobs) for large-scale data processing. • Familiarity with CI/CD pipelines • Understanding DevOps best practices. • Familiarity with using Virtual Machine environment. Professional Skills: • Excellent problem-solving skills and the ability to work independently and collaboratively. • Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. • Capacity for problem solving • Comfortable with collaboration and open communication across distributed teams Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent r

Full-timeReston, US

NLP Engineer

Bright Vision Technologies • Fairfax, US

NLP Engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge natural language processing technologies to build scalable, accurate, and production-grade language intelligence systems. As we continue to grow, we’re looking for a skilled NLP Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota. Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: NLP Engineer Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Natural Language Processing (NLP), Python, NLTK, spaCy, Transformers, Hugging Face, BERT/GPT-based models, Text Classification, Named Entity Recognition, Sentiment Analysis, Information Extraction, Model Training & Fine-Tuning, RESTful APIs, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, CI/CD pipelines, Git, Agile methodologies Again, we work only with direct clients. If you are already on H-1 B and are open to an H-1 B transfer, feel free to apply. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required, so apply only if you are confident and technically strong. We prefer at least 3 to 5 years of real-time experience. Thanks& Regards Best Regards, Sridhar Pagolu Senior Manager Bright Vision Technologies Phone: 908-938-4442 Address: #991 Route 22 West, Suite 200, Bridgewater, New Jersey - 08807 Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Full-timeFairfax, US

Senior AI Engineer (NLP & ML expertise) ML, AI 🏆

TASC Technical Services LLC • Washington, US

Senior AI Engineer (NLP & ML expertise) 💰 Salary: $187,200 - 187,200 per year At TASC Technical Services LLC we are looking for a ML, AI engineer! 🛠️ Our tech stack: AI, Support, Machine Learning, Python, Security, Visual Studio, Machine-Learning 📝 Rquirements: - Must have a degree from an accredited College/University in a relevant field or an additional four years of related experience if the degree is in a different area - At least 8 to 12 years of overall experience in relevant domains - Minimum of 2-3 years of experience in specialized AI development, particularly in technology or software development - 3-5 years of experience in software development leveraging AI, Analytics, Support, and Leadership roles - Proven track record in developing solutions using Visual Studio Code, Python, and other programming languages - Familiarity with generative AI and large language models (LLMs) - Ability to work autonomously on functional duties - Must pass a client-mandated clearance process, including drug screening, criminal history check, and credit check - US Citizens or Green Card Holders ONLY - Must be Public Trust Eligible - Must have lived in the US for the last 5 years with no more than 6 months of travel outside the US in that period (Military Service excluded) 👩‍💻👨‍💻 Your responsibilities are: - Collaborate with Requirements and Test Automation teams to pinpoint high-impact use cases for generative AI, machine learning, and automation - Develop AI-driven solutions that align with business requirements and provide actionable recommendations - Design and create prototypes and pilot AI-enabled solutions for Requirements and Test Automation - Produce AI tools or programs to generate technical requirements from existing business user stories - Develop guidance, best practices, and toolkits to assist teams in integrating AI into their workflows - Integrate automation solutions with current software systems and databases - Ensure all AI scripts and programs are executable on postal laptops - Merge existing test automation frameworks with AI solutions - Train designated team members in executing and maintaining AI scripts and programs - Document process changes using agreed standards and methodologies - Provide technical oversight and review the work of team members - Create comprehensive training materials and documentation - Exhibit professionalism, deliver quality service, and maintain a positive, collaborative attitude - Handle additional responsibilities as assigned - Present working samples during the interview process - Attend in-person interviews, preferably View this job and over 500 other transparent jobs with salaries (💰💰💰) & tech stacks (🛠️) on DevITJobs Category: ML, AI Developer / Engineer Location address: Ellipse Road Northwest, Washington, United States Salary: $187,200 - 187,200 per year Benefits & perks that we offer: TASC Technical Services LLC - More about us and the role: At TASC Technical Services, we pride ourselves on 30 years of excellence in the staffing industry. We are located in Washington, D.C., with telework options available. We offer competitive benefits, including comprehensive healthcare plans, a 401k with company match, and direct deposit for weekly paycheck distribution. We adhere to all state and federal guidelines for compensated time off. As an Equal Opportunity Employer, we strive to create an inclusive environment for all our employees. Are you looking for ML, AI jobs in Washington?

Machine Learning Engineer, WWPS ProServe Data and Machine Learni Jobs

Amazon • Jessup, US

Full-timeJessup, US£136,000 - 184,000

Description This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities - Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases. - Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale. - Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions. - Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices. - Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact. - Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience w

AI/ML Engineer with Core Java and Neuro AI

Info Dinamica Inc • Vienna, US

Role: AIML Engineer Location: Vienna, VA (Hybrid - 3 to 4 days a week onsite) Job Type: Contract Job Summary: • Join our company as a Sr. Developer Java, where you will leverage your expertise in Neuro AI Engineering, Langchain, and Concepts of LLM to drive innovation. • With a focus on Oracle GenAI and Azure, you will contribute to cutting-edge projects that enhance our technological capabilities. Experience Required: 10 to 14 years Required Skills: Core Java, Azure, Langchain, Oracle GenAI, Neuro AI Engineering, Concepts of LLM Responsibilities: • Collaborate with cross-functional teams to integrate Neuro AI Engineering into existing systems for improved performance. • Utilize Langchain methodologies to streamline data workflows and optimize system efficiency. • Apply Concepts of LLM to design robust algorithms. • Leverage Oracle GenAI to create predictive models that drive strategic decision-making processes. • Utilize Azure to deploy scalable applications that meet business requirements and ensure high availability. Qualifications: • Possess a strong background in Java development. • Demonstrate expertise in Neuro AI Engineering and its application in data processing. • Have experience with Langchain methodologies for efficient data management. • Understand Concepts of LLM and their role in algorithm design. • Proficient in Oracle GenAI for predictive modeling and analysis. • Azure, GenAI, LLM, Langchain, We are seeking a skilled Azure AI Engineer to design, develop, and deploy AI-based solutions using Microsoft Azure. • The role requires hands-on expertise in Azure cognitive services, machine learning, data engineering, Bot Services, and integration of AI models into enterprise applications. • Will be responsible for AI agent set up MCP server set up. • Implement data preprocessing and feature engineering workflows using Azure Data Factory, Synapse Analytics, or Data Lake.

ContractorVienna, US

AI/ML Research Scientist

Peraton • Clinton, US

Full-timeClinton, US£135,000 - 216,000

Overview Join to apply for the AI/ML Research Scientist role at Peraton . Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit to learn how we're keeping people around the world safe and secure. Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New Air Traffic Control System (BNATCS) contract. We are seeking innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world's most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. Role purpose The AI/ML Research Scientist will work with senior researchers and managers to perform research and development of AI/ML technologies, with primary focus on generative AI, natural language processing, and related areas. The position involves collaborating with project leads and R&D teams to customize and apply developed technologies to address customer problems and to perform cutting-edge AI/ML research under supervision. Responsibilities • Perform research and development of AI/ML technologies, with emphasis on generative AI. • Collaborate with project leads and managers to tailor technologies to customer problems. • Contribute to national strategies and policies by guiding decisions on integrating next-generation technologies like AI, satellite navigation, and unmanned aircraft systems (UAS). • Support safety validation efforts and lead teams on FAA programs as applicable. • Work with R&D teams to apply AI/ML models and techniques, including NLP and generative AI, in real-world settings. QualificationsRequired: • U.S. Citizenship Required. • Must have the ability to obtain / maintain a Public Trust clearance • Bachelor's degree and 8+ years, Master's degree and 6+ years, or PhD and 3+ years in Engineering, Computer Science, Physics, or related field • Demonstratable AI/ML research experience, and peer-reviewed publications are required unless similar qualifications can be demonstrated • Expertise in one or more programming languages: C, C++, Python, Java Script • Hands-on development experience in AI/ML model building and tuning • Hands-on development experience of agentic AI • Experience with state-of-the-art large language models at the API level (familiarity with tool/function calling APIs) • Modern software development practices and tool chains (Git, CI/CD) Desired: • Machine learning libraries such as Tensor Flow, Py Torch • Anthropics' Model Context Protocol (MCP) • End-to-end ML model and generative AI agent development experience • Linux, containers (Docker), and orchestration tools (Kubernetes) • Hands-on AI/ML development in cloud environments (e.g., AWS Bedrock) • Full stack programming experience • Azure cloud experience Compensation and notice Target Salary Range: $135,000 - $216,000. Salary is determined by various factors, including scope of responsibilities, experience, education, location, and contract considerations. Overtime, shift differential, and discretionary bonus may be available depending on the position. EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law. Employment details • Seniority level: Not Applicable • Employment type: Full-time • Job function: Engineering and Information Technology • Industries: Civil Engineering We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Senior Martech AI Research Scientist

GEICO • Chevy Chase, US

Full-timeChevy Chase, US£80,000 - 100,000

AI/ML Research Scientist

Peraton • Mt Rainier, US

Full-timeMt Rainier, US£100,000 - 125,000

Location: Mt Rainier Required • U.S. Citizenship Required. • Must have the ability to obtain / maintain a Public Trust clearance • Bachelor’s degree and 8+ years, Master's degree and 6+ years, or PhD and 3+ years in Engineering, Computer Science, Physics, or a related technical field of experience • Demonstratable AI/ML research experience, academic research publications in peer-reviewed international AI/ML conferences are required, unless similar qualifications can be demonstrated • Expertise in one or more programming languages: C, C++, Python, Java script • Hands-on development experience in AI/ML model building and tuning • Hands-on development experience of agentic AI • Demonstratable proficiency in working with state-of-the‑art large language models at the API level (During interviews on MS Teams, candidates are expected to use VSCode to execute tasks through programmatic interactions with OpenAI tool/function calling API) • Modern software development practices and toolsets (Git, CI/CD tool chains) Desired • Machine learning libraries, such as Tensor Flow, PyTorch, etc • Anthropic’s Model Context Protocol (MCP) • End-to-end machine learning model and generative AI agent development experience • Linux, containers such as Docker, and orchestration tools such as Kubernetes • Hands‑on AI/ML development experience in cloud environments, such as AWS Bedrock • Full stack programming experience • Azure cloud working experience #BNATC Position is Contingent Upon Award Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA’s Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation’s skies safe and connected. We’re looking for innovative professionals who thrive in mission‑critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world’s most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. At Peraton, you won’t just support the mission — you’ll define it. Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton is seeking an AI Research Scientist to join our team of qualified, diverse individuals. The ideal candidate will influence national strategies and policies by guiding decisions on integrating next‑generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). Whether you’re supporting safety validation efforts or leading teams on major FAA programs, your work will directly impact the millions of passengers and aviation professionals who rely on safe, efficient airspace operations every day. The AI Research Scientist will work with senior research scientists and managers to perform research and development of AI/ML technologies such as natural language processing and generative AI. The AI/ML Research Scientist will work with project leads and managers to perform research and development of AI/ML technologies, with primary focus on generative AI. Candidates are expected to work with R&D teams to customize and apply developed technologies to address problems of interest to customers. Candidates are expected to possess ability and experience to perform cutting‑edge AI/ML research under the supervision of managers. #J-18808-Ljbffr

AI/ML Research Scientist

Peraton • Annapolis Junction, US

Full-timeAnnapolis Junction, US£80,000 - 128,000

Required: • U.S. Citizenship Required. • Must have the ability to obtain / maintain a Public Trust clearance • Bachelor’s degree and 2+ years in Engineering, Computer Science, Physics, or a related technical field of experience • Demonstratable AI/ML research experience, academic research publications in peer-reviewed international AI/ML conferences are required, unless similar qualifications can be demonstrated • Expertise in one or more programming languages: C, C++, Python, Javascript • Hands-on development experience in AI/ML model building and tuning • Hands-on development experience of agentic AI • Demonstratable proficiency in working with state-of-the-art large language models at the API level (During interviews on MS Teams, candidates are expected to use VSCode to execute tasks through programmatic interactions with OpenAI tool/function calling API) • Modern software development practices and toolsets (Git, CI/CD toolchains) Desired: • Machine learning libraries, such as TensorFlow, PyTorch, etc • Anthropic’s Model Context Protocol (MCP) • End-to-end machine learning model and generative AI agent development experience • Linux, containers such as Docker, and orchestration tools such as Kubernetes • Hands-on AI/ML development experience in cloud environments, such as AWS Bedrock • Full stack programming experience • Azure cloud working experience Join Peraton Labs in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA’s Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation’s skies safe and connected. We’re looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world’s most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. At Peraton Labs, you won’t just support the mission — you’ll define it. Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton Labs is seeking an AI/ML Research Scientist to join our team of qualified, diverse individuals. The ideal candidate will influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). Whether you’re supporting safety validation efforts or leading teams on major FAA programs, your work will directly impact the millions of passengers and aviation professionals who rely on safe, efficient airspace operations every day. The AI/ML Research Scientist will work with senior research scientists and managers to perform research and development of AI/ML technologies such as natural language processing and generative AI. The AI/ML Research Scientist will work with project leads and managers to perform research and development of AI/ML technologies, with primary focus on generative AI. Candidates are expected to work with R&D teams to customize and apply developed technologies to address problems of interest to customers. Candidates are expected to possess ability and experience to perform cutting-edge AI/ML research under the supervision of managers.

AI Research Scientist - Language - MRS AI

Meta • Washington, US

Summary: The MRS AI Knowledge team is at the forefront of innovation in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are committed to revolutionizing recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to pushing the boundaries of recommendation systems to deliver exceptional user experiences across Facebook, Instagram, Threads, and more. Required Skills: AI Research Scientist - Language - MRS AI Responsibilities: • Collaborate, and execute on research that pushes forward the state of the art in large language model research • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results • Contribute to publications and open-sourcing efforts • Help identify long-term ambitious research goals as well as intermediate milestones • Prioritize research that can be applied to Meta's product development Minimum Qualifications: Minimum Qualifications: • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta • Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields • Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics • Direct experience in generative AI and LLM research • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications: Preferred Qualifications: • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward • Experience with deep learning frameworks (such as pytorch, tensorflow) and Python • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) • Experience working and communicating cross functionally in a team environment • Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources Public Compensation: $154,000/year to $217,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Research Scientist - AI & Machine Learning

Novateur Research Solutions • Ashburn, US

Research Scientist – AI & Machine Learning Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are hiring Research Scientists passionate about advancing foundational AI methods for perception and reasoning. You will pursue original research in machine learning, multimodal integration, and explainable AI, working with collaborators from academia and national labs. Responsibilities: • Formulate and conduct research in large-scale machine learning and spatiotemporal analytics. • Publish findings in top-tier conferences and journals. • Collaborate on grant proposals and cross-disciplinary R&D initiatives. • Supervise interns and junior researchers. Requirements: • PhD in Computer Science, Mathematics, Physics, or related field. • Deep understanding of statistical learning, computer vision, or representation learning. • Strong research publication record. • Ability to transition research concepts into implementable systems. Preferred: • Experience with multimodal learning, uncertainty quantification, or causal inference. Why Novateur? Join a team that values creativity and initiative. Our scientists and engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Full-timeAshburn, US

Artificial Intelligence & Natural Language Processing Research Scientist

Howard University • Washington, US

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission. At Howard University, we prioritize well-being and professional growth. Here is what we offer: • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support • Work-Life Balance: PTO, paid holidays, flexible work arrangements • Financial Wellness: Competitive salary, 403(b) with company match • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture Join Howard University and thrive with us! https://hr.howard.edu/benefits-wellness JOB PURPOSE: Employee will spearhead innovative projects, mentor emerging talent, and push the boundaries of technology in areas such as natural language processing and artificial intelligence. SUPERVISORY AUTHORITY: None NATURE AND SCOPE: Internal contacts include RITA HQ Team and the entire Howard University community. External contacts include as directed. PRINCIPAL ACCOUNTABILITIES: • Lead AI research initiatives from conception to implementation. • Develop cutting-edge AI systems, tailoring solutions to complex research queries. • Analyze research data critically, translating findings into actionable insights. • Collaborate across disciplines, integrating diverse expertise into your work. • Disseminate knowledge through scholarly papers and compelling presentations to stakeholders. • Remain at the forefront of AI/NLP advancements, integrating new technologies and methodologies. • Design and validate NLP techniques, contributing to the broader field with innovative solutions. • Engage in developing and evaluating human-machine interfaces and systems integration, enhancing human performance through technology. CORE COMPETENCIES: • Mastery of programming languages (Python, Java, C++, C, R) and command-line scripting. • Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML). • Exceptional project management, communication, and collaborative skills. • Experience in high-performance computing, secure network AI development, and simulation tools. • Proficiency in UI/UX development. MINIMUM REQUIREMENTS: Bachelor's Degree or higher in Computer Engineering/Science, Engineering, or IT; equivalent experience considered. 5+ years in machine learning and data science; advanced degrees may offset experience requirements. An advanced degree (Postgraduate or Ph.D.) in a relevant field is preferred. A history of designing algorithms in AI/NLP or related fields. Willing and able to travel and obtain/maintain a US Top Secret/SCI level security clearance. U.S. citizenship is required due to federal export control and security compliance requirements. Compliance Salary Range Disclosure 95,000-105,000

AI Research Scientist, Applied Systems

NIST Office of the Director • Washington, US

Building gold-standard AI requires gold-standard AI measurement. Within NIST, CAISI works in concert with the larger community of AI practitioners to advance AI measurement, security, and innovation. The CAISI Applied Systems team is seeking a research scientist to design and execute rigorous research analyzing AI systems in real-world settings. This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.

Principal Applied AI/ML Research Scientist

Microsoft • Washington, US

Full-timeWashington, US£140,000 - 304,000

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Microsoft Trust Data Privacy team is looking for an Applied AI/ML Research Scientist who thrives at the intersection of research rigor and engineering excellence. In this role, you will focus on developing and deploying state-of-the-art machine learning and AI models for large-scale data classification challenges. You will design, build, and ship end to end AI and machine learning systems—from problem framing and hypothesis testing, to scalable production deployment and ongoing monitoring. You’ll partner closely with product, engineering, and data teams to deliver measurable impact to customers. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities • Own end-to-end delivery: Lead the full modeling lifecycle for security scenarios, from data ingestion and curation to training, evaluation, deployment, and monitoring. Problem framing, literature review, model design, offline evaluation, online experimentation, and production deployment. • Implement and optimize models: Design and implement privacy-preserving data workflows, including anonymization, templating, synthetic augmentation, and quantitative utility measurement. Develop and maintain fine-tuning and adaptation recipes for transformer models, including parameter-efficient methods and reinforcement learning from human or synthetic feedback. Establish objective benchmarks, metrics, and automated gates for accuracy, robustness, safety, and performance, enabling repeatable model shipping. • Productionize AI & ML Collaborate with engineering and product teams to productionize models, harden pipelines, and meet service-level objectives for latency, throughput, and availability. Develop fine-tuning techniques for transformer models and establish benchmarks for accuracy, robustness, and performance to ensure reliable model delivery. Drive MLOps best practices: CI/CD, model registry, feature store, model serving, monitoring/drift. • Champion Responsible AI: fairness, explainability, privacy (GDPR/CCPA) and security considerations in model design and deployment. • Operational excellence: code quality, tests, observability (logs/metrics/traces), on-call ownership for ML services, and SLA adherence. • Collaborate cross‑functionally: write design docs/RFCs, partner with PMs and engineers, and drive execution towards predictable outcomes and timelines. Qualifications Required/minimum qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: • This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications . • GenAI experienc

AI Planning Research Scientist

Peraton • Silver Spring, US

Full-timeSilver Spring, US£112,000 - 179,000

Education Requirements: • Requires 5 years with BS/BA, 3 years with MS/MA, or 0 years with PhD • Additional relevant experience will be considered in lieu of formal education Skills and Experience You Should Possess: • Experience developing and deploying sophisticated AI planning solutions • Expertise in common AI planning approaches such as behavior trees, GOAP, HTN, etc. • Expertise in one or more system languages: C, C++, Go, etc. • Expertise in Python • Expertise in designing, developing, and testing software modules related to emerging embedded cyber capabilities, high-availability network protocols, cyber mission planning, and reasoning systems. • Modern development practices and toolsets (Git, subversion, CI/CD toolchains) • Experience running docker containers • Experience developing in Linux • A passion to learn something new every day and to stay up-to-date with developments in your field • Adept at independent problem-solving and comfortable with a general approach of taking initiative to find and develop solutions • US Citizenship Required Additional Desired Skills: • Ability to grasp the “big picture” and see beyond specific problems • Network emulation frameworks including CORE, EMANE, MiniNet • Experience with Networking Protocols • Familiarity with one or more assembly languages (x86/64, ARM, MIPS, etc.) • Experience with configuring Network appliances • Experience with threat intelligence research Minimum Clearance Required: Active Top Secret, able to obtain TS/SCI Role and responsibility for this position: The Senior AI Planning Research Scientist will solve hard, real-world planning problems requiring nothing less than state-of-the-art solutions. You’ll take responsibility for accomplishing specific deliverables within a small team setting of fellow engineers. You’ll communicate and collaborate with fellow team members and help guide junior staff. Peraton Labs generates transformative applied research to fuel solutions for our customer’s unique challenges. We are a self-sustaining research center within Peraton that provides applied research and engineering to enable government agencies, utilities, and commercial enterprises to fully exploit the future of communications, analytics, and cyber security. Who we’re looking for: • Cyber: We are looking for staff with a strong interest (and ideally a track record) in cybersecurity research and development. • Generalists: You should have a breadth of knowledge across multiple domains. You’ll typically focus your work on the domain(s) of your specialty or preference, but a strong multi-domain awareness and ability is required. You should have a curiosity to learn new technology. • Tangible: You’ll work on applied research programs to conceive and develop prototypes to solve cutting-edge, complex problems.

Senior AI Server Product Manager

Dell • US

Senior AI Server Product Manager Showcasing excellence and innovation at every stage, AI Product Management is responsible for the cross-functional management of AI-optimized products or solutions through their entire lifecycle. We undertake thorough analysis of the markets to ensure we maximize profitability and adjust our product strategies to respond to competition. Our role also involves acting as subject matter experts for internal and external product events or partner meetings. Join us to do the best work of your career and make a profound social impact as a Senior AI Server Product Manager on our Server Product Management team in Round Rock, Texas or Hopkinton, Massachusetts . What you'll achieve As part of our Server Product Management Team, you will be responsible for cross-functional management of AI-optimized product(s) or solution(s) through their entire life-cycle to achieve P&L goals. You will be a Subject Matter Expertise (SME) for internal and external product events, including analyst meetings, press interviews, sales training and partner meetings. Manage requirements for new complex product and solution offerings, including feature/cost trade off decisions, trade marking important features, and driving peripheral requirements for product platforms. Be a SME for external and internal product events Strong technical acumen with a history of building/delivering enterprise server products especially AI enabled products and components including but limited to GPU's, CPU accelerators Experience defining projects, collecting requirements, writing detailed functional specifications, coordinating efforts to scope and scheduling and deploying new feature sets Experience in writing product and customer requirements and using qualitative and quantitative data to prioritize decision-making Typically requires 15+ years of related experience in a professional role with a Bachelor’s degree; or a PhD with 8+ years experience; Familiarity with AI (Artificial Intelligence) If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Application closing date: 17 January 2025 Read the full Equal Employment Opportunity Policy here .

Lead Technical Product Manager – AI Assistant & Workflow Experience

Eudia • Palo Alto, US

Lead Technical Product Manager – AI Assistant & Workflow Experience About Eudia Eudia is a high-growth AI startup on a mission to transform legal work through Augmented Intelligence—pairing advanced AI with human expertise to supercharge legal teams. Our platform helps Fortune 500 corporate legal departments move faster, manage risk, and transform the legal function from a cost center into a strategic advantage. Eudia is trusted by some of the world’s most demanding organizations, including Cargill, ServiceNow, DHL, Bayer, Duracell, Dolby, Indeed, OpenAI, the U.S. Air Force, Best Buy, Asana, Dropbox, LinkedIn, Citi, Etsy, Novelis, Pure Storage, Del Monte, Cox, PetSmart, Udemy, and many more across regulated and high-stakes industries. Backed by General Catalyst (Hemant Taneja, Marc Bhargava), Floodgate (Mike Maples), Sierra Ventures (Tim Guleri), and leading individual investors including Gokul Rajaram and Prof. Chris Ré (Stanford), Eudia is building deeply technical AI platforms for risk-sensitive environments where accuracy, security, and trust are non-negotiable. We believe the future of legal work lies in AI augmenting human expertise, not replacing it, and we are assembling a world-class team to make that future a reality. About the Role We are looking for a Lead Product Manager, Application Experience & Workflows to own the end-to-end user experience of Eudia’s core application. This role defines how corporate legal teams interact with AI across workflows such as contract review, diligence, compliance analysis, and advisory research. You will translate powerful AI capabilities into intuitive, trustworthy, and scalable application experiences that align with how legal professionals work. This is a senior role with full ownership of application-layer strategy, workflow design, and enterprise adoption, working closely with AI, platform, design, engineering, and customer teams. What You’ll Own • End-to-end product strategy and application experience for Eudia’s core legal workflows • Workflow design across review, diligence, compliance, and research use cases • Trust, explainability, and user confidence at the application layer • User-centric integration of AI into everyday legal work • Application readiness for enterprise deployment and adoption Key Responsibilities Conversational Experience & Workflow Design Design intuitive, enterprise-ready workflows where lawyers can ask complex questions and engage naturally with Eudia’s Company Brain. Ensure experiences reflect how legal teams actually search, read, decide, and review. Trust, Accuracy & Explainability Own how responses are presented, including structured summaries, citations, and edge case handling. Design for traceability, uncertainty indicators, and user confidence in high-stakes environments. Search, Retrieval & Knowledge Access Shape how users query across documents, datasets, prior work, and external sources. Define seamless navigation from structured answers back to source materials. User-AI Collaboration & Feedback Loops Decide when and how AI should assist, guide, or step back. Drive the design of feedback flows, editability, and human-in-the-loop phases that improve system performance over time. Enterprise Deployment & Adoption Support secure rollout across departments with features like permissions, audit trails, and deployment controls. Partner with customer enablement teams to drive usage, trust, and value realization. Strategy, Metrics & Delivery Translate vision into a focused product roadmap. Define KPIs related to adoption, satisfaction, task accuracy, and trust. Drive execution from concept to scaled usage in complex legal environments. Requirements • 7+ years of product management experience, with ownership of complex, user-facing enterprise application suite. • Must have experience building AI products in startup environments, including 0→1 product development and early-stage scaling. • Proven ability to take products from concept to launch, rapid iteration, and customer adoption. • Strong background in workflow design, usability, and B2B/enterprise UX. • Experience in regulated or risk-sensitive domains (legal, finance, healthcare) is a strong plus. • Technical fluency to collaborate deeply with engineering and AI teams and translate capabilities into product requirements. • Excellent customer empathy, communication, and cross-functional leadership skills. • Strong sense of ownership, accountability, and bias toward impact. Why Join Eudia? As the Lead PM for Application Experience, you will shape how some of the world’s most sophisticated legal teams experience AI in their daily work. This is an opportunity to build category-defining enterprise software at an AI-first company—where trust, clarity, and usability truly matter—and to see your decisions directly influence high-stakes professional workflows. Why Join Eudia? At Eudia, you’ll join a mission-driven team shaping the future of legal work. As a Lead Tec

Full-timePalo Alto, US

Product Manager - Embedded Innovation Team

RELX Inc. Company • US

Are you energized by building AI-first products that change how thousands of colleagues work? Do you enjoy pairing with engineers to ship fast, learn faster, and turn messy workflows into measurable outcomes? LexisNexis is launching a company-wide effort to help more teams benefit from AI in a practical, consistent, and well-supported way. The program embeds small, dedicated, cross-functional teams directly with business domains to identify high-value opportunities and deliver reusable internal solutions that raise productivity, decision quality, and speed. Our mission is straightforward: empower every employee at LexisNexis to leverage AI to move from human outcomes to superhuman outcomes. We are hiring a Product Manager to join the team and lead discovery, prioritization, and delivery of internal, employee-facing AI solutions. Responsibilities Partner with internal “customer” teams to deeply understand workflows, pain points, and jobs to be done, then translate them into clear product opportunities. Create and manage a prioritized roadmap of high-impact use cases, balancing speed, feasibility, risk, and reusability across domains. Define success metrics and reporting for each solution, including adoption and satisfaction measures, and use that data to iterate quickly. Lead end-to-end product delivery in an agile operating model, partnering daily with engineers and domain stakeholders. Help define “AI-first product development” by applying modern tools, workflows, and ways of working across the Software Development Lifecycle. Scale impact beyond your team. Document patterns, components, and artifacts; share learnings; and partner with internal enablement to make solutions discoverable and reusable enterprise‑wide. Requirements 6+ years of product management experience delivering software products in an agile environment. Demonstrated ability to lead discovery, define crisp problems, and convert ambiguity into prioritized roadmaps and shipped outcomes. Hands-on fluency with generative AI tools and modern AI product concepts and have the ability to keep up to date on the latest technical and product related advances. Experience building or product-managing AI-enabled workflow tools, agents, and/or automation systems, especially in an enterprise context. Strong partnership mindset with engineering leaders and individual contributors, including comfort making pragmatic tradeoffs. Experience defining metrics and using data to drive product decisions and iteration cycles. Have demonstrable success delivering complex, multi-team initiatives at scale. Be able to work collaboratively across matrixed, cross-functional product and tech organizations and engage with different levels of seniority Strong discovery craft. Skilled at framing problems, mapping workflows, quantifying impact, and validating solutions rapidly with stakeholders; comfortable balancing speed and rigor. Enterprise collaboration. Success working across matrixed organizations with senior leaders and frontline teams; excellent communication and change‑management skills. U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our

Product Manager, Business AI

Meta • Oklahoma City, US

Full-timeOklahoma City, US

Summary: Join us in revolutionizing interactions for over 200+ million businesses using Meta's platform through Business AI Agents. These agents operate across Meta platforms like WhatsApp, Messenger, Facebook/Instagram ads, and on third-party platforms such as business websites. Messaging is a starting point for millions of businesses, as there are over a billion active threads every day between people and businesses across our messaging platforms.We are looking for a Product Manager to work on our Facebook Messenger product area, bringing Business AI to millions of businesses. This is an opportunity to make AI simple, accessible, and valuable for businesses using Messenger. In this high-impact position, you'll make a real difference by streamlining how businesses discover, understand, and achieve results with our Business AI solutions. Required Skills: Product Manager, Business AI Responsibilities: Improve adoption and retention of Business AI experiences on Facebook Messenger Understand Meta's strategic positioning and deliver products that are aligned with our mission and drive value for the 200M businesses that rely on Meta each day Incorporate data, research, and market analysis to inform product strategies and roadmaps Drive product development with teams of Industry-leading engineers and designers, while maintaining team health Work closely with cross-functional teams to drive product strategy, define product requirements, coordinate resources from other groups (design, legal, GTM etc.), and guide the team through key milestones Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction Define and analyze metrics that inform the success of products. Identify and track key performance metrics Minimum Qualifications: Minimum Qualifications: 8 + years product management or related industry experience with domain-specific experience leading AI messaging products Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences) Can navigate ambiguity of 0 to 1 and manage the time-critical demands of a high-priority workstream Experience using AI to build software products and building AI and agents in production Customer-centric product and design intuition Can navigate through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre/post-launch execution Critical thinking/analytical leadership experience Preferred Qualifications: Preferred Qualifications: Experience with Business-to-Business (B2B) customer-focused development a plus Experience with Generative AI, Natural Language Processing (NLP), search, or machine learning Experience building for Business-to-Business (B2B) enterprise customers Public Compensation: $173,000/year to $241,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Product Manager for AI Platform

VirtualVocations • Chesapeake, US

A company is looking for a Product Manager - ML / AI Platform. Key Responsibilities Own the product roadmap for AI observability capabilities including instrumentation and debugging workflows Collaborate with stakeholders to develop the roadmap for AI evaluation capabilities Define and track success metrics related to AI performance and operational efficiency Required Qualifications 2+ years of experience as a Product Manager or equivalent product ownership role Familiarity with ML and AI development flows and LLM application patterns Aware of LLM evaluation approaches and methodologies Ability to partner with engineers on technical tradeoffs and system design Metrics-oriented with a focus on defining outcomes and iterative improvement

Full-timeChesapeake, US

AI Product Manager

Apple • Cupertino, US

About the position Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish! Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's US Decision Intelligence (DI) team is looking for a dedicated individual who is passionate about crafting, implementing, and operating AI solutions that have a direct and measurable impact on Apple Sales and its customers. We’re seeking a visionary US DI AI Product Manager to be the strategic product owner of our Sales GenAI gateway platform and ecosystem. You will translate business, operational, and sales enablement needs into scalable AI capabilities—bridging the gap between sales leaders, engineering, data science, and AI agents. You’ll manage roadmaps that integrate GenAI features like chatbots, summarization, anomaly detection, and agentic workflows into intuitive digital touchpoints. Responsibilities • Own the end-to-end product lifecycle of Sales GenAI platform—from discovery and prioritization to delivery and optimization. • Define and evolve a modular product vision that supports integration, web tools, insights emails, and agent-based decisioning. • Translate business goals into clear AI/ML feature requirements in partnership with AI engineers and data scientists. • Collaborate with UX/UI and engineering to ensure seamless integration of LLMs, RAG, and ML outputs into the GenAI gateway. • Drive A/B testing, usage telemetry, and insights adoption metrics to inform roadmap decisions. • Serve as the connective tissue between business partners and technical teams to balance impact and feasibility. Requirements • 12+ years proven experience in data and AI-related fields such as software architecture or AI engineering, software development, data science, data analysis, or data lead roles, with experience across both traditional ML systems and GenAI LLMs. • 5+ years of product management experience, including 2+ in AI/ML or data-driven platforms. • Experience launching AI-powered features in enterprise tools or data products. • Ability to translate ambiguous business problems into concrete technical solutions. • Ability to lead the development of AI projects from start to finish. • Strong communication and storytelling skills with executive-level stakeholders. • Comfort with ambiguity. • Ability to architect a full orchestrator and business context layer for sales. • Wide knowledge of GenAI and RAG strategies, micro services, MCP, A2E, recommendation systems, and prompt engineering. • Deep understanding of LLM ecosystems (OpenAI, Anthropic, Gemini, etc.), RAG pipelines, vector databases (e.g., Pinecone, FAISS, Milvus, PostgreSQL). • Experience with orchestration layers (e.g., LangChain, Semantic Kernel, Haystack), and prompt engineering best practices. • Basic proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit. • Familiarity with telemetry and evaluation frameworks for AI agents. • Experience working with data science teams on insights generation leveraging LLMs. • Knowledge of project management, productivity, and design tools such as Wrike and Sketch. • Strong time management skills with the ability to collaborate across multiple teams. • Proven experience designing scalable, cloud-native platforms (e.g., AWS, GCP, or on-prem hybrid). • Able to balance competing priorities, long-term projects, and ad hoc requirements. • Ability to work in a fast-paced, dynamic, constantly evolving business environment. • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field. Nice-to-haves • Background in sales analytics, go-to-market, or operations. • Ability to communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences. • Experience working in dual-speed orgs where central and regional product needs coexist. • Experience with anomaly detection and causal inference models. • Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.). • Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs. • Other complementary technologies for distributed systems architecture and asynchronous messaging, agent communication, and catching like RabbitMQ, Redis, and Valkey are preferred. • Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field is preferred.

Full-timeCupertino, US

Product Manager, Bioproduction Analytics & AI Intiaitives (Maryland)

Thermo Fisher Scientific • Sparks Glencoe, US

Full-timeSparks Glencoe, US£114,000 - 151,000

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description We are seeking a highly motivated and experienced Product Manager to lead the strategy, development, and commercialization of our Bioproduction Analytical Services portfolio. This is a global role at the intersection of biotechnology, analytical chemistry, data analytics, and artificial intelligence, with direct impact on customer success, innovation, and business growth. The ideal candidate brings deep scientific expertise, strong product leadership, and a passion for translating complex customer challenges into differentiated analytical and AI-enabled solutions. This role is critical to shaping the future of bioproduction analytics and delivering exceptional customer experiences in the rapidly evolving biologics landscape. Location: This is an onsite position in Hunt Valley, MD or Grand Island, NY. Residency within commuting distance of either locations required. No relocation assistance provided. Key Responsibilities Product Strategy & Portfolio Leadership • Own and manage the global bioproduction analytical services portfolio, including media analytics, protein analytics, stability studies and investigative analytics • Develop and execute comprehensive product strategies encompassing: • Market and customer needs assessment • Competitive and pricing analysis • Service positioning and lifecycle management • Identify future service requirements and growth opportunities aligned with biologics and advanced therapies trends. • Collaborate closely with R&D, technical teams, marketing, sales, and manufacturing to ensure seamless service development, launch, and execution. • Lead and facilitate Voice of Customer (VOC) activities to enable data-driven decisions across the portfolio. • Maintain close relationships with field organizations (sales, technical support) through training and active participation in the sales and support process • Stay current on industry trends, emerging technologies and regulatory requirements impacting analytical services. Apply insights to proactively evolve the service portfolio. Innovation, AI & Advanced Analytics • Lead initiatives to integrate AI and data-driven solutions into analytical services and media development workflows • Drive innovation through internal development and external partnerships or collaborations. • Translate emerging technologies into scalable, customer-ready offerings. Hands-On Scientific Contribution • Contribute directly to hands-on analytical chemistry work, as needed, including (but not limited to) raw materials analysis. • Serve as a technical thought partner to laboratory and scientific teams. Business & Financial Ownership • Deliver against annual revenue, growth, and profitability commitments for bioproduction analytical services. • Partner with commercial teams to position and present analytical service offerings to customers, driving market adoption and top-line growth. • Act as the product champion, clearly articulating value propositions internally and externally. • Collaborate closely with R&D, technical teams, marketing, sales, and manufacturing to ensure seamless service development, launch, and execution. Qualifications & Experience Required Qualifications • Bachelor's degree in Biotechnology, Biochemistry, Analytical Chemistry, Chemical Engineering, or a related scientific discipline. • 5+ years of experience in product management, scientific services, analytical development, or a related role • Strong technical background in bioproduction analytics, such as media analytics, protein characterization, stability studies, or investigative analytics. • Demonstrated ability to develop and execute product or service strategies, including market assessment, positioning, pricing, and lifecycle management. • Proven experience working cross-functionally with R&D, laboratory teams, marketing, sales, and commercial organizations. • Strong customer-facing experience, including customer engagements, presentations, and VOC activities. • Ability to translate complex scientific concepts into clear value propositions for diverse audiences. • Strong business acumen with experience supporting revenue growth, financial targets, and profitability. • Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications • Advanced degree (MS or PhD) in Analytical Chemistry, Biochemistry, or a related field. • Hands-on experience in an analytical chemistry laboratory, particularly within bioproduction or biologics development. • Experience integrating or deploying data analytics, digital solutions, or AI/ML technologies within scientific or laboratory workflows. • Familiarity with bioprocess development, biologics manufacturing, and upstream/downstream workflows. • Experience working in a global, matrixed organization and supporting international markets. Compensation And Benefits The salary range estimated for this position based in Maryla

[Remote] Agentic Execution Lead (Technical Product Manager)

Assembly Talent • US

Note: The job is a remote job and is open to candidates in USA. Assembly Industries is a fast-growing startup focused on connecting top-tier global professionals with innovative companies through an AI-enabled talent platform. The Agentic Execution Lead will be responsible for delivering AI agent workflows, managing client expectations, and collaborating with engineers to create automation-ready solutions. Responsibilities • Own end-to-end delivery of AI agent systems for enterprise clients, from SOP breakdown to live deployment • Interface directly with client operations and product stakeholders to clarify use cases, gather technical and process requirements, and manage delivery expectations • Convert ambiguous client SOPs into structured workflows, product specs, and execution plans • Collaborate tightly with engineers to design and ship automation-ready solutions • Lead structured implementation processes, including scoping, change management, UAT, and feedback integration • Anticipate risks, misalignments, and process breakdowns—and solve them before they slow us down • Balance near-term client priorities with long-term platform scalability Skills • 6+ years in product, solutions, or client delivery roles - proven track record of working with external clients or partners to deploy complex systems • Experience owning delivery of B2B or enterprise software products or services • Hands-on experience translating operational SOPs into structured workflows or software features • Demonstrated ability to deliver under pressure, with limited oversight and shifting priorities • Proficient with project management tools such as Notion, Jira, Trello, ClickUp, Asana or similar • Comfortable building basic operational forecasts (e.g. time savings, resource allocation, deployment timelines) using Excel, Google Sheets, or Airtable • Able to perform light data analysis to support decision-making and uncover process improvements • Familiarity with modern workflow tools, APIs, and AI/automation ecosystems • Startup experience or entrepreneurial environments preferred Company Overview • Helping founders & early stage companies hire incredible offshore teams & talent for sales, marketing, operations & finance. It was founded in undefined, and is headquartered in , with a workforce of 11-50 employees. Its website is https://assembly-industries.com/.

Sr. Product Manager - AI (Remote)

Rula • Los Angeles, US

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role We’re shaping the future of mental health care with AI-enabled experiences that enhance, not replace, the human connection at the core of therapy. Our north star is clinically-grounded and responsible AI designed to bring greater transparency, personalization, and continuous support across the therapy journey. Our work transforms therapy into an experience that’s more connected and accessible. As we expand our portfolio of AI experiences, we’re scaling our team to drive innovation and set a new standard for mental health care. We’re hiring a Senior Product Manager – AI to launch and scale AI-powered features that transform the patient experience at Rula. This role will explore how AI can support patients before, during, and after care, always in partnership with their human therapist, so patients feel more engaged, supported, and empowered in their therapy journey. You’ll work at the intersection of AI, clinical expertise, and product innovation, partnering with clinicians, engineers, data scientists, and designers to prototype and test new patient-facing features. Your focus will be on building safe, supportive, and personalized AI experiences that enhance care while maintaining the highest clinical standards. This is a unique opportunity to define how cutting-edge technology can responsibly improve mental health access and outcomes. Required Qualifications • 5+ years of product management experience, including 2+ years building user-facing AI features. • Strong execution and delivery skills, with proven ability to scope MVPs, align stakeholders, and ship quality products in 0 to 1 environments. • Excellent communication skills, with the ability to translate clinical and technical concepts into actionable product frameworks. • Experience facilitating highly cross-functional teams (data science, ML engineering, clinical experts, design, and engineering). • Demonstrated ability to make tradeoffs and clear decisions in ambiguous, high-stakes environments. Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. • Hands-on experience with AI/ML prototyping or tools (e.g., prompting, RAG, evaluations). • Demonstrated ability to set a holistic product vision while executing iteratively. • Familiarity with building and evaluating AI quality metrics and incorporating them into product decisions. We're serious about your well-being! As part of our team, full-time employees receive: • 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) • Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States • Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA • 401(k) plan access: Start saving for your future • Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) • Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering • Employee Assistance Program (EAP): Support for your mental and physical health • New hire home office stipend: Set up your workspace for success • Quarterly department stipend: Fund team-building activities or in-person gatherings • Wellness events and lunch & learns: Explore a variety of engaging topics • Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued. Compensation Range: $180,965 - $212,900

Full-timeLos Angeles, US

Manager, Product Management- Gen AI Infrastructure & Analytics

Capital One • McLean, US

Manager, Product Management- Gen AI Infrastructure & Analytics Product Manager, Gen AI Infrastructure & Analytics Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team As a Product Manager at Capital One, you will lead the technical strategy for the next generation of AI analytics within our quality assurance platform. You will act as the technical bridge between business strategy and execution, partnering with Generative AI engineering and AI operations teams to orchestrate, govern, and scale from pilot to production. By optimizing data flows and backend performance, you will transform batch-processed transcripts into high-value enterprise insights. Your role involves navigating complex architectural requirements to move pilots into robust production environments, coordinating tech teams to architect automated workflows that balance compute performance with sustainable unit economics. Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: • Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions • Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence • Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value • Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks • Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: • At least 3 years of experience working in Product Management • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: • Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws reg

Senior Healthcare Data Scientist - AI / ML

CINQCARE • Washington, US

Overview Position Overview CINQCARE is redefining how health and care are delivered, starting where trust begins : the community. The Senior Healthcare Data Scientist will be a key member of the Analytics & AI team, responsible for designing and delivering advanced machine learning and analytics solutions that directly inform CINQCARE’s personalized care programs and outreach. This role blends technical expertise with strategic impact — developing predictive models, managing full model lifecycles, and translating data into actionable insights that guide engagement, care delivery, and organizational decision-making. The Senior Healthcare Data Scientist will also drive innovation by testing emerging techniques and ensuring all solutions meet CINQCARE’s standards for equity, fairness, and health impact. Responsibilities • Design, curate, and maintain analytical datasets by integrating EHRs, claims, engagement data (e.g., Salesforce Health Cloud), third-party SDOH sources, and commercial data (e.g., Neustar, Acxiom). • Build, evaluate, and manage predictive models (classification, regression, NLP, time series, survival analysis, agentic modeling) to stratify risk, improve targeting, and predict engagement. • Manage the full model lifecycle — from development through deployment, monitoring, retraining, and drift detection — ensuring production reliability. • Apply fairness, bias mitigation, and explainability frameworks to ensure models are equitable and trustworthy. • Use What-If scenario modeling and simulations to support clinical and business decision-making. • Integrate engagement data into continuous feedback loops that refine model performance and responsiveness. • Translate complex analyses into clear, compelling stories and insights for clinicians, engagement teams, executives, and community leaders. • Develop dashboards, reports, and self-service analytics tools for use across CINQCARE teams. • Partner with engineering teams for scalable deployment using modern MLOps practices. • Collaborate cross-functionally with clinicians, engagement specialists, and leadership to ensure data science aligns with CINQCARE’s purpose and performance priorities. • Research, test, and apply emerging methods (e.g., generative AI, causal inference, federated learning) relevant to community-based care and health equity. Required Qualifications • Master’s or PhD in Data Science, Statistics, Computer Science, Economics, or related quantitative field; Bachelor’s with significant applied experience considered. • Minimum 7 years of applied data science experience, ideally in healthcare, public health, insurance, or digital health. • Demonstrated ability to design, deploy, and manage predictive models in production. • Strong expertise in Python, SQL, and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch). • Experience with NLP, time series modeling, and advanced MLOps practices. • Familiarity with cloud platforms (Azure preferred; AWS / GCP acceptable). • Proficiency with visualization tools (Tableau, Power BI, Plotly, Dash). • Exceptional communication and data storytelling skills for technical and non-technical stakeholders. • Purpose-driven mindset with demonstrated ownership, accountability, and ability to thrive in collaborative, cross-functional teams. Benefits At CINQCARE, we care for our team like we care for our patients—holistically. We offer flexible, comprehensive benefits so you can thrive while delivering top-notch care. • Medical Plans : Two comprehensive options offered to Team members. • 401K : 4% employer match for your future. • Dental & Vision : Flexible plans with in-network savings. • Paid Time Off : Generous PTO, holidays, and wellness time. • Extras : Pet insurance, commuter benefits, mileage reimbursement, CME for providers, and company-provided phones for field staff. The working environment and physical requirements The working environment includes in-office work performed indoors in a traditional office setting with conditioned air, artificial light, and an open workspace. You will need to communicate with customers, vendors, management, and co-workers in person and over devices, sometimes with people who are agitated. Regular use of the telephone and e-mail for communication is essential. Sitting for extended periods is common. Must be able to receive ordinary information and to prepare or inspect documents. Lifting of up to 10 lbs. occasionally may be required. Good manual dexterity for the use of common office equipment. Good reasoning ability is important. Able to understand and utilize management reports, memos, and other documents to conduct business. Equal Opportunity & Reasonable Accommodation CINQCARE is an Equal Opportunity Employer committed to creating an inclusive environment for all employees. We provide equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran st

Senior Associate, Data Scientist - Applied AI

Capital One • McLean, US

Senior Associate, Data Scientist - Applied AI Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Commercial Bank Data Science Applied AI team is at the forefront of enabling Generative AI capabilities within the Commercial Bank. We focus on cutting-edge techniques such as Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning. The ideal candidate will be deeply passionate about Generative AI and possess prior experience in AI from either a professional or academic background. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation • Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. • Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. • A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) • Experience working with AWS • At least 2 years’ experience in Python, Scala, or R • At least 2 years’ experience with machine learning • At least 2 years’ experience with SQL • Prior experience in AI, information retrieval, or NLP Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretio

Data Scientist — All Experience Levels

Actifai • Washington, US

Actifai is seeking experienced data scientists. The Data Scientist will participate as a key team member in envisioning, designing, coding, testing, and improving the algorithms that are central to our mission as a company. They will work in continual collaboration with software engineers and partner company stakeholders. The Company Actifai is an artificial intelligence company. We help clients – primarily those in the cable and telecom industry – optimize their high value, high leverage decisions. Typically this includes things like customer acquisition, customer retention, and customer development (upsells/cross-sells). Actifai is part of Foundry.ai, a technology fund/studio that creates AI software companies in partnership with large global enterprises. Foundry’s operating companies focus on practical applications of AI that drive immediate, measurable, and recurring improvements to financial performance. Foundry is backed by approximately $100MM in capital from leading private equity and venture capital partners. The Position The Data Scientist will participate as a key team member in envisioning, designing, coding, testing and improving the algorithms that are central to our mission as a company. They will work in continual collaboration with software engineers and partner company stakeholders. Some key challenges will include: identifying external datasets and developing API or other methods for accessing them; fluidly self-educating on existing methods for modeling end-user behavior in a variety of contexts, or developing new methods for doing this when necessary; designing experiments to answer targeted questions; teaming with developers to embed algorithms in applications; understanding business economics, user motivation and other contextual information in order to guide analytical trade-offs, with a focus on “minimum viable algorithm” followed by intensive, iterative improvement; writing code that builds new companies and products. __ Entry level candidates will likely have many of the following characteristics: • Comfortable using scripting languages, and relational or NoSQL databases. • Familiar with general-purpose machine learning methods, such as regression, decision trees, neural networks, Bayesian networks, and so on. Capable of self-teaching new algorithmic methods easily. • Passionate about using data to drive strategy and business recommendation. • Well-rounded top performer who is able to “crunch the numbers” one minute, and critically think through strategic issues the next. • Excited to move fast and know how to prioritize and make critical decisions. • A self-starter: you have started something on your own before -- an open-source project, a new project within a company or university, a start-up, or something else. • Able to communicate as effectively when delivering complex data-driven findings to businesspeople, as when discussing machine-learning specifications with engineers. Senior candidates will often differentiate themselves with some of the following: • Proven capability in applying machine learning methods to novel problems and driving quantifiable gains in outcome. • Experience planning and executing work modules that span several months. • Broad skillset that blurs the lines between data science and software engineering. Exceptional computational background (e.g., developed new algorithms and/or has a relevant PhD). • Exceptional business background (e.g., managing client relationships on technical projects, experience at a top-tier consultancy and/or MBA from a leading program). __ Academic Qualifications Candidates should hold a very strong CS, math, science or similar degree from a leading program. PhD applicants are actively considered. Successful candidates will be comfortable in a fluid, entrepreneurial environment, but one that is focused on developing reusable software applications, not bespoke analytical solutions. The programming languages and tools used most frequently at Actifai are: Python, SQL, Javascript, Github, AWS, Google Cloud, Docker, Kubernetes, and shell scripts. We do not expect candidates to be experts in all of these, although a strong proficiency in Python and the ability to learn new languages as needed are common. Benefits and Culture Actifai offers an extremely competitive compensation package, including equity, employer-covered health/vision/dental insurance (with an optional FSA), and 401k matching. Employees receive a generous PTO allowance, and can work both remotely and from our office in downtown Washington, D.C. Successful candidates will join a small team of ambitious, supportive co-workers with ample opportunities to take on responsibilities beyond their assigned role. For additional information on benefits & what it's like to work at Actifai, please visit actif.ai/careers. Finally, we highlight that excellence has no single mold, particularly in a field as rapidly evolving as AI. We're looking for excellent candidat

Data Scientist (Generative AI)

Steampunk • McLean, US

Full-timeMcLean, US£125,000 - 160,000

Overview: We are looking for seasoned Data Scientist (Generative) to work with our existing team of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Contributions: Contributions include: • Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models. • Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production. • Stay updated with the latest research and trends in AI to implement cutting-edge solutions. • Evaluate the performance of foundational models (e.g., GPT, LLaMA, Claude) on domain-specific tasks and fine-tune them using supervised, reinforcement, or instruction tuning methods to align outputs with user needs and business goals. • Design and optimize prompts, few-shot examples, and system instructions to improve LLM behavior in constrained environments (e.g., RAG pipelines, multi-agent workflows, decision support systems). • Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). • Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and human evaluations. • Ability to leverage and integrate various data management tools at scale – cloud experience preferred • Support an Agile software development lifecycle • You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications: Qualifications include: • Ability to hold a position of public trust with the US government. • Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline • 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. • Must have hands-on experience in building and deploying generative models, with a portfolio of relevant projects • Must be proficient in Python, with strong coding practices for scalability and reproducibility. • Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures. • Demonstrated experience manipulating structured and unstructured data for analysis • Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. • Ability to implement and modify complex neural network architectures. • Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn. • Experience with model training, fine-tuning, and evaluation using frameworks like PyTorch or TensorFlow. • Deep knowledge of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and prompt engineering. • Hands-on experience with large language models (e.g., GPT, LLaMA, Claude, Mistral) and associated libraries (e.g., Hugging Face Transformers). • Familiar with retrieval-augmented generation (RAG), data labeling, synthetic data generation, and data governance best practices. • Proficiency in Python and ML tooling (e.g., Jupyter, Git, Docker, APIs). Able to work in cross-functional teams to deliver AI capabilities into production environments, and write modular/reusable code. • Experience in Cloud analytics (AWS, Azure, or Google Cloud Platform - GCP) with tools such as AWS SageMaker, AWS Bedrock, Azure OpenAI, etc. • Experience with DevSecOps, as it applies to data science and MLOps • Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar are a plus • Experience with Elasticsearch, AWS Kendra, Azure Cognitive Search, or similar tool is a plus About steampunk: Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are funda

AI/ML & Data Scientist SME

InDev • Washington, US

InDev is seeking a Data Scientist with 6+ years of experience to support our AI/ML, advanced analytics, and data visualization initiatives. This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Python, SQL, Tableau, and AWS Cloud, as well as excellent communication and presentation abilities. This is a direct-hire, full-time position with salary and benefits. InDev provides a comprehensive benefits package, including Medical, Dental, Vision, 401k with match, Flexible Spending Account, and Paid Time Off (PTO)—including vacation and holiday pay. YOUR FUTURE DUTIES AND RESPONSIBILITIES Data Analytics and Business Intelligence: • Analyze large and complex data sets to uncover insights and support decision-making. • Partner with stakeholders to define analytical needs and deliver actionable solutions. • Develop and maintain data models to support advanced analytics initiatives, AI/ML, Generative AI, and predictive analytics. Data Visualization and Reporting: • Design and create interactive dashboards and reports using Tableau and Power BI. • Present findings in a clear, concise manner tailored to both technical and non-technical audiences. • Support data storytelling through compelling visualizations that communicate trends and patterns. Data Extraction and Management: • Write complex SQL queries for data extraction, transformation, and loading (ETL) tasks. • Work with relational databases (e.g., Oracle, PostgreSQL, MySQL) to support data integrity and consistency. • Use data governance software and best practices to ensure data quality, lineage, and integrity across the lifecycle. Cloud Technology Utilization and Automation: • Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. • Ability to guide and support cloud modernization of data processes • Use the Microsoft Power Platform, including Power Automate, to automate workflows and processes. Collaboration and Communication: • Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders. • Clearly articulate analytical concepts and results to a wide range of audiences. • Contribute to client-facing presentations and written reports. QUALIFICATIONS • Bachelor’s Degree in Technology, Business, Mathematics, Computer Science, Information Systems, or other related discipline from an accredited college, university, or academic institution in the United States. (Master’s preferred) • 6+ years of professional experience in AI/ML, data analysis, visualization, and reporting. • Proficiency in Python for data manipulation and automation. • Strong experience with SQL and relational databases (e.g., Oracle, PostgreSQL, MySQL). • Proficiency with Tableau and/or Power BI for creating dashboards and visual reports. • Experience creating automated data workflows, analytics processes, and processing pipelines using Python, Power Automate, and SQL. • Advanced knowledge of data visualization and reporting using a variety of software and tools. • Familiarity with AWS Cloud environments and services for data processing and storage. • Familiarity with Collibra Data Governance or similar tools. • Excellent oral and written communication skills, with the ability to present complex information clearly. • Strong problem-solving and analytical thinking skills. • Existing and active DHS EOD/clearance. Clearance: U.S. Citizen; Active DHS clearance or Top Secret DoD Clearance. ABOUT US At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. WHY INDEV • Innovative Environment:  Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged. • Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale. • Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference. • Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth. • Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set. • Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape. If you're ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let's shape the future together.

Senior Associate, Data Scientist - Applied AI

Capital One • Tysons, US

Full-time and Part-timeTysons, US

AI/ML Data Scientist

Leidos • McLean, US

Description Data Architect/Scientist Are you looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. If this sounds like the kind of environment where you can thrive, keep reading! Leidos is seeking an AI/ML Data Scientist to support an enterprise IT program for an Intelligence Community client. Qualified candidates will possess strong skills in PL/SQL, Java, AWS, BASH, Linux, familiarity with Oracle, Linux user knowledge preferably with CENTOS or Rocky, and will be comfortable with JIRA, Git, & Nexus. The ideal candidate will have an analytical mind with a forward-leaning attitude and experience as a database programmer. The work you’ll be doing in this role has direct mission impact. As the sole data scientist on the team you’ll leverage your strong communications skills and prior experience supporting this client to collaborate with both the development and the management teams, work independently, and come up with ad hoc solutions. Are you ready to make an impact? Begin your journey of a flourishing and meaningful career, share your resume with us today! In this role you will support a client who has multiple application teams supporting a portfolio which is the central repository for all the client’s created applications. This includes state of the art systems on cloud, physical systems and applications based on products such as AWS, Oracle, SharePoint, and other web-based solutions. You will provide support specializing in data architecture to develop data solutions to ensure the client’s information is stored effectively and securely, system requirements are analyzed, and implement migration methods for existing data. The selected Data Scientist will do the following: • Provide complex data analysis, leveraging advanced analytics and AI techniques to drive insights and inform decision-making. • Design and implement research studies, acquire and analyze large datasets, and develop statistical models and ML algorithms to identify trends and patterns. • Work collaboratively with internal and external partners to identify and close gaps in intelligence analysis • Apply AI and ML techniques to improve analytical capabilities. Duties in this role shall include: • Develop data and metadata policies and procedures for structural design and development to build, maintain and leverage the data model, ensuring integration with corporate data standards, • Monitor industry trends and directions in database technology and tools, • Develop and present substantive technical recommendations to the client, • Oversee the design, evaluation, selection, implementation and support of major databases and metadata structures, • Review and evaluate database performance and risk and financial analysis feasibility studies, • Oversee the strategic structural design and development of databases and metadata, • Provide technical direction to the maintenance of major existing databases supporting evolving applications and business processes, • Provide comprehensive assessments of the technical characteristics of proposals and alternatives considered to optimize database performance, • Provide extensive technical, strategic advice and guidance in the creation and implementation of new data standards and databases, • Provide technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into the metadata and data standards and structures, • Review and assess technical proposals requesting changes or upgrades to the existing databases, • Serve as the lead technical resource in the strategic oversight and planning of data models and database structural design and development, • Strategically plan new designs for integration into a database structure, using knowledge of the characteristics of the systems being added to the structure and the specifications for database interfaces to ensure effective integration and optimal database performance, • Develop methods of ensuring data incompatibilities among systems are systematically eliminated, • Diagnose, isolate and expediently resolve complex problems pertaining to data infrastructure. Required Security Clearance: • Active TS/SCI with Polygraph is required. Required Experience, Skills, and Education: • Bachelor’s degree and 12+ years of experience or Master’s degree with 10+ years of experience. Additional experience may be substituted in lieu of a degree. • Demonstrated experience with Github, Jenkins, and Nexus. • Demonstrated experience with VSCode and Eclipse. • Demonstrated experience and familiarity with data science frameworks like T

Data Scientist, Data and Machine Learning, WWPS US Federal Jobs

Amazon • Arlington, US

Full-timeArlington, US£136,000 - 184,000

Description Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs. At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI. This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. Key job responsibilities As a Data Scientist, you will: - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction - This position may require up to 25% local travel. About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - 1+ years of working with or evaluating AI systems experience - Current, active US Government Security Clearance of Top Secret or above Preferred Qualifications - Ph.D. in Sc

Data Scientist - AI Decision Intelligence Platform

Andiamo • Washington, US

Data Scientist with TS SCI Clearance This role sits at the intersection of advanced analytics, machine learning, and mission driven work. You will help design and deliver intelligent data solutions that operate in complex, high impact environments. The work is hands on, technically challenging, and directly connected to real world decision making across defense, intelligence, and national security focused programs. You will join a platform focused data science team responsible for taking ideas from concept to fully deployed production systems. This position offers meaningful growth for individuals who want to expand their technical depth, increase customer impact, and grow into senior or leadership roles over time. What You Will Do • Design, build, and deploy production grade machine learning and analytics solutions using a modern AI and data science platform • Take ownership of customer engagements, working directly with complex datasets from initial exploration through operational deployment • Translate ambiguous mission needs into clear technical approaches and scalable data products • Develop models and analytics pipelines that integrate with large scale data ecosystems and cloud based data platforms • Collaborate closely with engineers, analysts, and stakeholders to ensure solutions are reliable, explainable, and impactful Required Qualifications • Active TS SCI security clearance with willingness to work in secure facilities as required • Based in or near Washington DC or Northern Virginia with the ability to access SCIF locations • Ability and willingness to travel regularly to client sites and military installations • Bachelor’s degree in Computer Science, Data Science, Engineering, or a closely related field • At least three years of experience writing production quality Python code • Strong experience with the Python data ecosystem including libraries such as pandas, numpy, scikit learn, TensorFlow, PyTorch, and visualization tools • Hands on experience deploying machine learning models into live production environments • Experience working with relational and non relational databases such as SQL, NoSQL, search engines, or graph systems • Solid understanding of version control workflows using Git or similar tools • Practical experience with containerization or orchestration technologies such as Docker or Kubernetes • Strong ownership mindset with the ability to drive work forward independently • Clear and effective written and verbal communication skills in English Nice to Have • Experience leading or coordinating data science projects within a SCIF environment • Background in cyber analytics including network traffic analysis, PCAP data, vulnerability analysis, or related domains • Experience integrating analytics systems with distributed processing frameworks such as Spark, Dask, Snowpark, or Kafka • Exposure to workflow orchestration tools or scheduling systems such as Airflow, Celery, or Prefect • Experience building or supporting lightweight web applications or APIs using frameworks like Flask or Django Compensation And Benefits • Competitive compensation package including salary, bonus, and equity based on experience and background • Comprehensive health benefits including medical, dental, and vision coverage • Generous paid time off policy designed to support long term sustainability and balance If you are excited by the idea of building advanced data science solutions that matter, working with cutting edge technology, and contributing directly to high consequence missions, this role offers a rare opportunity to do all three. About Andiamo Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies. For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms. Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com

Sr. Data Scientist, AI Delivery/Deployment

AppFolio • Washington, US

Full-timeWashington, US£138,000 - 173,000

Hi, We’re AppFolio We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. We believe ML and AI are powerful tools—but not universal solutions. This role exists to ensure we deploy AI deliberately, responsibly, and only where it meaningfully improves internal outcomes. Success of this role is measured by the adoption of the tools built - production ML/AI systems that drive measurable business outcomes (eg, cost reduction, efficiency gains). We’re aiming for adoption, data democratization, and business enablement. You will determine the most effective path forward—whether that involves leveraging existing AI Factory infrastructure or building bespoke systems from scratch when business logic requires it. You will advocate for "AI where it adds value," ensuring we avoid high-cost, low-impact complexity in favor of robust, scalable solutions that move the needle for our stakeholders. Your impact • Deploy End-to-End ML/AI: Lead the design and delivery of custom ML/AI workflows, ranging from classical regression and classification models to agentic LLM systems. • Strategic Partnership: Navigate ambiguity by partnering with product, business, and engineering stakeholders to translate complex business challenges into concrete ML/AI roadmaps. • Drive ML Explainability & Narrative Insights: Translate complex "black-box" model predictions and feature importance into human-readable narratives. You will build the translation layer that makes sophisticated data science insights accessible and actionable for executive stakeholders. • Operationalize Value-Focused Observability: Design and implement observability frameworks to track the full lifecycle of deployments, monitoring business ROI and model health • Standardize Infrastructure & Engineering: Establish reusable code libraries, modeling frameworks, and orchestration standards to accelerate model delivery Qualifications • Technical Prowess – You possess the mathematical depth to build sophisticated models and the software engineering rigor to deploy them. • Deployment Mindset – You don't consider a project "done" when the notebook is finished; you thrive on the challenge of getting models into the hands of users and keeping them running at scale. • Business Acumen – You understand key challenges facing our business and partner with stakeholders to find creative ways to apply AI to solve them. • Communication & Storytelling – You can translate complex technical concepts into compelling narratives for non-technical stakeholders. You are comfortable presenting to leadership, justifying AI investments with ROI, and setting the vision of AI initiatives across the company. • Efficiency – Able to quickly iterate on data generation and refinement. Looks for ways to improve processes to maximize efficiency and remove redundancy. Must have • Custom LLM Workflow Experience: Proven track record of customizing and deploying LLM workflows for specific, non-generic use cases. • Classical ML Mastery: Advanced knowledge of classical machine learning techniques such as regression and classification • Bachelor’s Degree in a STEM field and minimum 6 years of experience in a related field. • Cloud Services Expertise: Demonstrated experience working with and deploying models within major cloud environments (AWS, Azure, GCP, or Snowflake). • Data Translation: Deep understanding of Feature Importance (SHAP/LIME) and how to map these values to semantic context. • Strong programming background (Python, SQL, version control, system design) with experience writing production-grade, modular code. • Effective Communication: Strong listening and interpersonal skills; ability to communicate with cross-functional partners in both technical and business terms. Nice to Have • Snowflake Proficiency: Hands-on experience navigating the broader Snowflake Data Cloud ecosystem (Snowpark, Cortex, Streamlit) • Vector Database Experience: Familiarity with vector search architectures or managed vector search offerings (e.g., Pinecone, Weaviate, Cortex Search). • Model Context Protocol (MCP): Familiarity with MCP for creating standardized, interoperable connections between LLMs and data sources or proprietary tools. • Experience building AI Agents for automated code-refactoring or SQL generation. • Experience using dbt (data build tool) or orchestration frameworks such as Airflow. Compensation & Benefits The base salary that we reasonably expect to pay for this role is: $138,300-$173,000 The actual base salary for this role will be determined by a variety of factors, including but not limited to: the candidate’s skills, education, experience, etc. Please note that base pay is one important aspect of a compelling Total

Junior Machine Learning Engineer at ClearML Washington DC

ClearML • US

Junior Machine Learning Engineer job at ClearML. Washington DC. 4 days ago Be among the first 25 applicantsJunior Machine Learning Engineer (Machine Learning AI)Join us to advance data science and machine learning.ClearML is a rapidly growing open source MLOps platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation, ensuring their work is reproducible and scalable. ClearML is trusted by brands such as NVIDIA, NetApp, Samsung, Hyundai, Bosch, Microsoft, Intel, IBM, and Philips.Overview:We are an open source end-to-end MLOPs platform, built by developers for developers.We're looking for a junior Machine Learning Engineer (Machine Learning AI) to join our growing team. In this role, you will collaborate across our development and product teams and will have a chance to collaborate with our MLOPs experts working in the exciting areas of machine learning, deep learning, DevOps, and AI.The ideal candidate will be a recent graduate who wants to learn how to create and fine-tune models from large amounts of raw information and optimize them You will work with our team to learn to build ML/DL data pipelines to extract valuable business insights, analyze trends, and help us make better decisions.We expect you to be highly analytical with a knack for analysis, math, and statistics, and a passion for machine learning and research. Critical thinking and problem-solving skills are also required.Responsibilities:- Research and analyze valuable data sources and automate processes- Perform preprocessing of structured and unstructured data- Review large amounts of information to discover trends and patterns- Create predictive models and machine-learning algorithms- Modify and combine different models through ensemble modeling- Organize and present information using data visualization techniques- Develop and suggest solutions and strategies to business challenges- Work together with engineering and product development teams to build and test ML/DL solutions stretching the entire spectrum of ML operationalization from data processing, model training, hyperparameter tuning, deployment, and model management.Requirements:- Graduate role, no experience necessary, remote opportunity- Knowledge of SQL and Python; familiarity with Scala, Java, or C++ is a plus.- Familiar with Kubernetes and/or perhaps similar container system- Strong math and analytical skills, with business acumen- Strong communication and presentation skills- Good problem-solving abilities- BSc or BA degree in Computer Science, Engineering or other relevant areaSeniority levelSeniority levelInternshipEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at ClearML by 2xGet notified about new Machine Learning Engineer jobs in Washington, United States.Software Engineer - AI/ML, Multiple LocationsRedmond, WA $81,900.00-$174,600.00 3 days agoBellevue, WA $71,600.00-$140,600.00 1 day agoMachine Learning Engineer, Core EngineeringSeattle, WA $100,000.00-$720,000.00 1 week agoRedmond, WA $117,200.00-$294,000.00 1 day agoSeattle, WA $198,000.00-$230,000.00 2 weeks agoSeattle, WA $140,000.00-$170,000.00 2 months agoGreater Seattle Area $200,000.00-$250,000.00 3 weeks agoSeattle, WA $150,000.00-$180,000.00 2 days agoSeattle, WA $200,000.00-$270,000.00 3 days agoSeattle, WA $200,000.00-$270,000.00 1 week agoSeattle, WA $150,000.00-$175,000.00 4 weeks agoSpokane, WA $200,000.00-$270,000.00 1 week agoSenior Machine Learning Engineer, AI (FULLY REMOTE-USA)Yakima, WA $200,000.00-$270,000.00 1 week agoSeattle, WA $85,000.00-$95,000.00 2 weeks agoSeattle, WA $142,000.00-$211,000.00 3 weeks agoSr Machine Learning Engineer, Core EngineeringSeattle, WA $110,000.00-$140,000.00 2 weeks agoPython and Kubernetes Software Engineer - Data, Workflows, AI/ML & AnalyticsWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr ClearML

Distinguished Machine Learning Engineer - Bank Tech

Capital One • McLean, US

Distinguished Machine Learning Engineer - Bank Tech Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. Team Description We are seeking a Distinguished Machine Learning Engineer to partner with fraud, risk, data, and platform teams to advance the bank’s proactive fraud prevention strategy, leveraging generative AI technologies to anticipate emerging threats, accelerate insight generation, and enhance decisioning at scale. This role will help shape how GenAI capabilities are responsibly applied across the organization to move from reactive detection to proactive, intelligence-driven fraud prevention. What you’ll do in the role: • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams • Provide guidance on the evaluation and adoption of generative AI techniques and tools, including LangChain, LangGraph, LLMs, RAG, MCP, embeddings, vector stores, and model orchestration frameworks. • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems • Lead large-scale ML initiatives with the customer in mind • Drive adoption of proven generative AI patterns across teams by influencing platform design, standards, and technical direction. • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale • Optimize data pipelines to feed ML models • Use programming languages like Python, Scala, C/C++ • Leverage compute technologies such as Dask and RAPIDS • Evangelize best practices in all aspects of the engineering and modeling lifecycles • Help recruit, nurture, and retain top engineering talent Basic Qualifications: • Bachelor’s degree • At least 10 years of experience designing and building data-intensive solutions using distributed computing • At least 6 years of experience programming in C, C++, Python, or Scala • At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: • Master's Degree • 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models • 2+ years of experience using Dask, RAPIDS, or in High Performance Computing • 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) • Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation. • Ability to communicate complex technical concepts clearly to a variety of audiences • ML industry impact through conference presentations, papers, blog posts, or open source contributions • Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Machine Learning Engineer Wilmington, DE: $244,700 - $279,200 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ben

Artificial Intelligence Machine Learning Engineer (Annapolis Junction, MD)

Shield Consulting Solutions, Inc. • Annapolis, US

**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. Telework: None Basic Requirements: • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning • 5 years' experience in applied machine learning • 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting. Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. This is a full time position

Full-timeAnnapolis, US

Staff Machine Learning Engineer - Generative AI

Xometry • Gaithersburg, US

Full-timeGaithersburg, US£140,000 - 230,000

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk. Responsibilities: • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation. • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace. • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction. • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets. • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale. • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows. • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team. • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production. Qualifications: • Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus. • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision. • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs). • Hands-on experience with multimodal data (text, images, 3D). • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). • Solid grounding in probability, statistics, and optimization for generative modeling. • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred). • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders. • Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more. • Must be a U.S. Citizen or Green Card holder (ITAR compliance) The estimated base salary range for new hires into this role is $140,000-$230,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Data Scientist/Machine Learning Engineer - TS/SCI with Poly required (req-185)

CATHEXIS • Tysons, US

Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication. Our core capabilities are our top-tier program and project management, data analytics, and audit services, the backbone of which is our integrated approach to operational excellence. You worked hard to get to where you are. You strive to make every day better than the day before. So do we. Team CATHEXIS operates with an all-in mindset. We are working together to create a company that supports our shared values and individual goals. Our values are centered around Respect, Engagement, Customer Service, Integrity, Teamwork, and Excellence in everything we do for our employees, clients, partners, and communities. We believe success is best when we listen and lead with empathy; model high standards of ethics to provide a rewarding candidate experience; work hard, have fun, and appreciate the strengths we all bring to the team; and empower our employees to create innovative and trusted results. We are looking for a dynamic Data Scientist/ML Engineer to join our team. The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Responsibilities The responsibilities include, but are not limited to: • Research, design, implement, and deploy Machine Learning algorithms for enterprise applications. • Assist and enable federal customers to build their own applications. • Contribute to the design and implementation of new features. Requirements • Top Secret clearance with CI or FS Poly or above. • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required. • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred. • Minimum 2 years relevant work experience preferred. • Excellent programming skills in Python. • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). • Strong mathematical background (linear algebra, calculus, probability, and statistics). • Experience with scalable ML (MapReduce, streaming). • Ability to drive a project and work both independently and in a team. • Smart, motivated, can-do attitude, and seeks to make a difference. • Excellent verbal and written communication. • Real passion for developing team-oriented solutions to complex engineering problems. • Thrive in an autonomous, empowering and exciting environment. • Great verbal and written communication skills to collaborate multi-functionally and improve scalability. • Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment. • Convey highly technical concepts and information in written form to technical and non-technical audiences. • The ability to work on multiple concurrent projects is essential. • Strong self -motivation and the ability to work with minimal supervision. • Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines. • Ability to work in an agile environment. Desired Skills • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services. • Experience with deep learning, natural language processing, computer vision, or reinforcement learning. Benefits CATHEXIS offers competitive compensation packages to all eligible employees. Our goal is to provide a compensation package that reflects the value you bring to our team, is competitive with market rates, and promotes your financial security and personal well-being. CATHEXIS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the RecruitingTeam@cathexiscorp.com.

Full-timeTysons, US

AI Engineer/Machine Learning Engineer :: Remote EST/CST

Jobs via Dice • US

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Data Wave Technologies Inc, is seeking the following. Apply via Dice today! AI Engineer Remote EST/CST Juno Beach, FL MUST HAVE: • Must have 7-8 years over all IT Experience • 3+ years of professional experience in AI engineering • Python development • Full-stack development (frontend + backend) • Cloud platforms (AWS, Azure, or Google Cloud Platform) • DevOps practices (CI/CD, containers, deployment automation) • GenAI or LLM-powered applications • PREFERRED : Agentic frameworks (LangChain, LangGraph, AutoGen, similar) • Experience building LLM-powered applications • Experience with the energy sector, utilities, or industrial systems

AI & ML Engineer, Lead

Booz Allen Hamilton • Washington, US

Full-timeWashington, US£129,000 - 292,000

AI & ML Engineer, Lead The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the usage of artificial intelligence in the government healthcare space. As a machine learning engineer on ou Health and Life Sciences team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with data scientists, AI solution architects, and cloud engineers to deliver world-class solutions to deploy and scale AI and ML solutions. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI and ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for U.S. government health and life sciences clients. Join us. The world can’t wait. You Have: • 8+ years of experience designing and implementing complex enterprise systems • 5+ years of experience in data architecture, solutions architecture, software or cloud engineering, ML engineering, or data management • Experience as a solution or enterprise architect emphasizing data and analytics for enterprise infrastructure in a matrixed organization with legacy systems • Experience with engineering, including writing code or implementing systems • Experience with data governance, integration patterns, and platform scalability in large enterprises • Experience with AI and ML or data transformation pipelines or cross-platform integration using AWS, Azure, Databricks, or open-source cloud tools • Ability to reason through architectural trade-offs and technical limitations • Ability to translate technical concepts for senior stakeholders, build alignment across teams, and create and communicate technical solutions for clients in verbal and written formats • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements • HS diploma or GED Nice If You Have: • Experience consolidating or rationalizing redundant tools or platforms • Experience building and deploying generative or agentic AI systems into production • Experience in high-visibility, cross-functional initiatives involving business transformation or digital modernization • Experience with AI and ML platform orchestration or intelligent automation at scale • Experience developing machine learning algorithms • Experience gathering requirements and leading Agile teams • Knowledge of modern software design patterns, including microservices, event-driven and architecture • Ability to act as a bridge between strategy and implementation without day-to-day oversight • Bachelor’s degree Vetting:   Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first cult

Data and Machine Learning Engineer - Vision Language Models, Data & Machine Learning (DML)

Amazon Web Services (AWS) • Herndon, US

Full-timeHerndon, US£136,000 - 184,000

Description This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. Join a Sizeable Team Of Data Scientists, Research Scientists, And Machine Learning Engineers That Develop Vision Language Models (VLMs) On Overhead Imagery For a High-impact Government Customer. We Own The Entire Machine Learning Development Life Cycle, Developing Models On Customer Data • Exploring the data and brainstorming and prioritizing ideas for model development • Implementing new features • Training models in support of experimental or performance goals • T&E-ing, packaging, and delivering models We perform this work on both unclassified and classified networks, with portions of our team working on each network. We seek a new team member to work on the classified networks. You would work collaboratively with teammates to develop and use a python codebase for fine-tuning VLMs. You would have great opportunities to learn from team members and technical leads, while also having opportunities for ownership of important project workflows. You would work with Jupyter Notebooks, the Linux command line, GitLab, and Visual Studio Code. Key job responsibilities With Support From Technical Leads, Carry Out Tasking Across The Entire Machine Learning Development Lifecycle To Fine-tune VLMs On Overhead Imagery • Run data conversion pipelines to transform customer data into the structure needed by models for training • Perform EDA on the customer data • Train VLMs on overhead imagery • Develop and implement hyper-parameter optimization strategies • Test and Evaluate models and analyze results • Package and deliver models to the customer • Implement new features to the code base • Collaborate with the rest of the team on long term strategy and short-medium term implementation. • Contribute to presentations to the customer regarding the team’s work. Basic Qualifications • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • Bachelor's degree or above in computer science, machine learning, engineering, or related fields • Current, active US Government Security Clearance of Top Secret or above Preferred Qualifications • Experience in a ML or data scientist role with a large technology company • Experience working on multi-team, cross-disciplinary projects • Master's degree or above in computer science, machine learning, engineering, or related fields • Knowledge of Linux, PyTorch, and Git workflows for computer vision requirements • Experience developing visual language models leveraging satellite imagery Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually USA, VA, Herndon - 136,000.00 - 184,000.00 USD annually Company - Amazon Web Services, Inc. Job ID: A3173014

Data Science/Machine Learning Engineer (Remote, Continental United States)

ICA.ai • Arlington, US

About ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again! We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS. At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you. We are looking for Data Science/Machine Learning Engineers to join our growing team! ABOUT THE ROLE: As a Data Science/Machine Learning Engineer at ICA, you will be at the forefront of applying machine learning techniques to solve complex problems and enhance our products and services. Your role will involve developing and implementing machine learning models, collaborating with cross-functional teams, and contributing to the advancement of our AI capabilities. ABOUT YOU: You are a curious and driven Machine Learning Engineer with a strong foundation in Python and hands-on experience building and deploying ML models in cloud environments like AWS. You thrive on solving complex problems with multilayered data and enjoy optimizing algorithms for performance and scalability. Your collaborative mindset allows you to work seamlessly with data scientists, engineers, and product teams to bring intelligent solutions to life. You stay current with the latest ML techniques and tools, and you're passionate about turning prototypes into production-ready systems that deliver real-world impact. RESPONSIBILITIES: • Identify Opportunities: Collaborate with internal and external stakeholders to uncover and define data-driven opportunities that align with strategic business goals. • Data Analysis & Modeling: Mine and analyze complex datasets from company and client databases to drive product and business optimization strategies, using both traditional statistical techniques and state-of-the-art machine learning approaches. • Assess the effectiveness and accuracy of new data sources and data gathering techniques, including evaluating and implementing methods for acquiring and processing large volumes of text data. • Perform data processing using State of the Art LLM Models and technologies • Innovation & Strategy: Assess the effectiveness of new data sources and data gathering techniques, identifying ways to enhance the organization's data strategy with novel ML and AI methods. • Client-Facing Presentations: Develop compelling presentations and demos to showcase analytical solutions and insights to both technical and non-technical audiences, including clients and senior management. • Predictive Modeling & Optimization: Use advanced statistical and machine learning approaches to drive improvements in customer engagement, product performance, and business processes. • Model Monitoring: Establish processes and tools to track model performance, data accuracy, and reliability over time. Continuously iterate on models to meet evolving business needs and industry best practices. REQUIRED QUALIFICATIONS: • 5+ years of overall professional experience in data science, analytics, or a related field. • At least 23 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering). • Education: • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. • Technical Proficiency: • Coding knowledge and experience with Python • Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development. • Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks • Familiarity with LLM evaluation, interpretability, and best practices. • Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, , etc.). • Familiarity with AWS services (Athena, S3, Glue, SageMaker, Bedrock) for scalable model development. • NLP Techniques (NER, Information Extraction, Text Categorization, Document Parsing) • Preferred: exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services. • Preferred: experience with Document Processing • Ability to obtain

Full-timeArlington, US

Staff Machine Learning Engineer

GEICO • Chevy Chase, US

Full-timeChevy Chase, US£130,000 - 260,000

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Staff Machine Learning Engineer Overview: As a Staff Machine Learning Engineer, you will be the overall tech lead of a single AI/Machine Learning team, responsible for the tech design and tech health of the team. You will build and architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. This role requires a minimum of 6 years of relevant experience. Key Responsibilities: System development: Architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. Establish ML Best Practice: Develop and implement Software Development Lifecycle (SDLC) best practices for machine learning projects, ensuring scalable, secure, and reliable systems from model development to production deployment. Expected to stay hands-on coding about 70% of the time. Product Leadership & Feature Backlogs: Define the product roadmap for machine learning solutions and establish feature backlogs. Prioritize key ML features in collaboration with product managers, aligning them with business objectives and technical feasibility. Optimize Model Performance and Reliability Debug and troubleshoot model performance issues, track key metrics, and continuously enhance model reliability, speed, and efficiency in production environments. End-to-End Model Lifecycle Management: Own the complete lifecycle of ML models, including monitoring, retraining, finetuning and managing versions of models to ensure they continue to meet business needs over time. Leadership and Mentorship: Guide and mentor machine learning engineers, promote best practices in software engineering, model development, and deployment. Lead technical decision-making processes and foster collaboration within the team. Minimal Qualifications: • Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field; an advanced degree (master’s or Ph.D.) is highly desirable • At least 6 years of hands-on experience in machine learning and software engineering. • Technical Skills: • Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence. • Proficiency in AIML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, langraph, etc. • Experience with SQL, Spark, and scripting languages such as Python for data processing and model development. • Expertise in cloud platforms (AWS, Azure, GCP) and containerization technologies such as Docker, as well as orchestration tools like Kubernetes. • Proven experience in deploying machine learning systems in a production environment, ensuring scalability, reliability, and high availability. • Core Engineering Skills: • Extensive experience with object-oriented design (OOD), design patterns, and writing clean, maintainable code. • Solid understanding of distributed systems and the challenges associated with scaling machine learning models in production. • Expertise in implementing MLOps practices, including setting up continuous integration (CI), continuous delivery (CD), automated testing, and deployment pipelines for machine learning models. • Strong understanding of system architecture, performance optimization, and the ability to design fault-tolerant systems that handle large-scale data and high-volume requests. • Experience designing, building, and maintaining ETL pipelines, streamlining data collection, transformation, and storage for model development. • Proficient in containerizing applications using Docker and managing deployment and scaling using Kubernetes or similar orchestrators. • Experience setting up monitoring and logging systems for tracking model performance in production environments and ensuring efficient resource utilization. Preferred Qualifications: • 3 years interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives • Working experience with cloud provider solutions such as Azure and AWS • Experience utilizing both open source (e.g. llama, Qwen, Mistral) and proprietary (e.g. GPT, Claude) LLMs for appropriate tasks • Experience with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc. • Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments • Experience in ideating, int

Senior Lead AI Engineer (LLM Customization and Finetuning)

Capital One • McLean, US

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies • At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) • Experience designing, developing, integrating, delivering, and supporting complex AI systems • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production • Excellent communication and presentation skills, with the ability to

LowCode AI Engineer Key Personnel

Right Seat • Washington, US

Low-Code AI Engineer (Key Personnel) Role Summary Drive applied AI initiatives from prototype to production with rigor and speed. Serve as a hands-on technical enabler for our client by rapidly designing, configuring, and deploying low-code / no-code AI-enabled solutions that accelerate business transformation while meeting Federal Agency Responsible AI requirements. Bridge mission users, AI developers, data scientists, and governance stakeholders to enable secure, explainable, and repeatable AI adoption across ITA directorates. Key Responsibilities • Design and configure low-code AI solutions, workflows, and automations aligned to ITA mission use cases. • Integrate AI/ML services—predictive analytics, NLP, and GenAI components—into low-code platforms. • Prototype and support pilots and MVPs under the AI COE framework, iterating quickly within governance guardrails. • Translate business requirements into scalable low-code implementations in close collaboration with mission users. • Implement model explainability, auditability, and governance hooks in accordance with Federal AI policy. • Support the full AI lifecycle: development, testing, deployment, monitoring, and continuous iteration. • Align solutions with OCIO enterprise architecture, cybersecurity standards, data governance, and privacy controls. • Document designs, workflows, configurations, and user guidance to enable repeatable adoption and scale. Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field—or equivalent experience. • 5+ years of application development experience, including 3+ years using low-code / no-code platforms. • Demonstrated experience with low-code platforms (e.g., Power Platform, ServiceNow, Appian, Mendix, OutSystems, Salesforce). • Experience integrating AI/ML services (APIs, models, cognitive services). • Familiarity with data pipelines, APIs, and cloud services. • Understanding of Responsible AI principles, model transparency, and human-in-the-loop design. • U.S. Citizenship with the ability to obtain and maintain a Public Trust (Moderate Risk) or equivalent clearance; future Secret/TS-SCI needs. • Availability for on-site collaboration in the National Capital Region (NCR), as required. Nice to Have • Experience working in federal IT environments. • Prior experience supporting Federal AI governance frameworks. • Experience within OCIO-led modernization efforts. • Background in AI COE, data labs, or enterprise AI enablement. • Azure DevOps, Power Platform, Power Apps, Microsoft Copilot Studio. • Migration experience from IaaS to PaaS and SaaS. Work Location • Work Location Initial, 30-day transition period - On-site full-time at the customer's Washington DC, location. • Post-transition – hybrid 65% Contractor-site / 35% On-site at customer Washington DC location. About RightSeat.AI RightSeat.AI accelerates responsible AI adoption for innovators across the federal government, commercial enterprises, and mission-critical environments. We unite mission-savvy advisors with pragmatic builders to deliver secure AI systems, measurable impact, and workforce transformation. Our portfolio spans: • AI Strategy & Design • AI Workshops • AI Implementation • AI Talent Solutions Why Join RightSeat.AI • Make real-world impact with trustworthy AI on mission-critical problems across federal and commercial sectors. • Grow with a championship mindset—high agency, preparation, resilience, and stretch opportunities. • Thrive in an ego-free, honest culture where compassionate honesty and diverse perspectives let the best ideas win. • Own outcomes with integrity—take action, lead with intention, and enjoy the journey while winning together. Benefits We offer a competitive benefits package designed to support your health and work–life balance. This includes comprehensive medical, dental, and vision coverage for you and your family; generous paid time off for vacation, personal days, and sick leave; as well as observed government holidays. Equal Opportunity Employer Statement RightSeat and our client are equal opportunity employers. We consider all qualified applicants without regard to any protected characteristic. We are committed to an inclusive workplace built on respect, integrity, and equal opportunity.

AI Engineer, Senior

BOOZ, ALLEN & HAMILTON, INC. • McLean, US

Full-timeMcLean, US£99,000 - 225,000

AI Engineer, Senior The Opportunity: As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to c ond uct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support enabling AI and AIOps solutions to mission customers. As an ML engineer on our systems integration team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to develop, deploy, and scale AI / ML applications and workloads. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Join us. The world can't wait. You Have: • 3+ years of experience supporting AI or ML workloads and data pipelines in AWS • Experience integrating LLMs or multimodal models into user-facing applications or workflow tools • Experience in natural language processing, LLMs, transformers, or Retrieval-Augmented Generation ( RAG ) architectures • Experience with infrastructure-as-code or standup of cloud-based infrastructure and platform services in AWS • Knowledge of developing ETL or ELT pipelines for structured and unstructured data ingestion into vector and graph systems • Knowledge of APIs, cloud functions, and deployment pipelines • Top Secret clearance • Bachelor's degree • DoD 8170 or 8140 IAT Level II Certification such as Security+ Certification • Compliant Computing Environment Certification such as AWS Cloud Practitioner Certification Nice If You Have: • 2+ years of experience integrating with third-party platforms, including Collibra, Tableau, and ServiceNow • 2+ years of experience working with modern AI capabilities in ML, including deep learning and LLM frameworks • Experience with AI-assisted development such as Cursor, Cline, Windsurf, or Claude Code • Experience with AWS AI- related services and Model Context Protocol ( MCP ) • Experience working with cybersecurity teams to develop and review technical documentation and security control implementation required to achieve and maintain ATO • Bachelor's degree in CS, Engineering, or a related field preferred ; Master's degree a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard

Google Agentic AI Delivery Senior Engineer

Accenture • Arlington, US

Full-timeArlington, US£87,400 - 266,000

We are: A leading partner to the world’s major cloud providers, including AWS, Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you! Our Cloud First group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. About the Role: Building the Future in the Age of Agents Join the elite technical and product engine of the Accenture Google Business Group (AGBG). We are not a traditional project delivery organization; we are a practice of innovators and builders guiding our clients through the most significant shift in technology: the move to Agentic AI and Product-Led Operating Models. As a Google Cloud Platform (GCP) Agentic AI Delivery Senior Engineer, you are a new breed of technologist—a "product-minded engineer" who is as fluent in the language of code as you are in the language of customer outcomes. You don't just build solutions; you leverage the best of technologies Google Cloud has to offer for client requirements, helping clients break free from legacy solution mindset and practices to build truly modern, value-driven software products on Google Cloud. You Are: A passionate, hands-on GCP Senior Engineer who understands that great software is not just about elegant code, but about solving real problems leveraging the best technology tools available for a client. You are as comfortable building a multi-agent workflow on Vertex AI as you are testing a solution built by other team members in a compressed timeline, leveraging the various tools and technologies of Google Cloud. You have a consultative mindset and a deep curiosity to understand the "why" behind a client's business requirements and convert them to an optimal technology solution. You are an evangelist for modern ways of working, grounded in the principles of Product-Led engineering and operating models and related approaches. You are an exceptional communicator, great team player, continuous learner and a true believer in continual change. The Work: As a GCP Agentic AI Delivery Senior Engineer, you will be a technical and product-centric engineer in consulting and engineering projects, customizing Google Cloud Agentic solutions for client requirements. You will partner with Accenture's global delivery teams by providing superior technical expertise and product innovation skills. Your role is to execute complex technology solutions for our clients by designing, building, and demonstrating Agentic AI solutions. You will act as a trusted team player, guiding others in the team on how to adopt a Product Engineering mindset and be the expert on specific Google Cloud technologies/products. Key Responsibilities: • Outcome-Driven Design and Build: Actively participate in technical discovery workshops to translate client business requirements into GCP technology design elements and customized solutions. Design, build, test and deploy innovative, agentic-first solutions on GCP that are directly tied to the client business requirements. • Hands-On Development & Proof-of-Value: Rapidly design, build, and present compelling proof-of-concept (POC) solutions that bring your Google Cloud proficiency to workable solutions. This includes hands-on software engineering using Vertex AI, Gemini/Agentic AI, BigQuery, Google Data technologies, Terraform, and modern CI/CD practices. • Product-Led Project delivery: Act as an agile SME/coach on modern software development. Guide and enable the delivery team on the principles of the Product Agile Operating Model and how to structure delivery sprints for continuous delivery using Google Cloud Technologies. • Team Collaboration: Ability to travel as needed for project meetings, workshops, client discussions, etc., Working with global teams and leveraging the various collaborative tools and channels for project delivery and status reporting. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements Here's what you need • Minimum of 5 years of experience in a hands-on, client-facing technology role (e.g., Google Cloud Engineer, Product Engineer, Technology Consultant). • Mini

AI Engineer – Entry Level

Centennial Technologies • Tysons, US

Job Description: Centennial Technologies is seeking talented and motivated AI Engineer with good technical expertise in modern AI frameworks and workflows. This role will focus on designing, developing, and deploying advanced AI models and intelligent systems to solve complex problems in healthcare, and financial domains. The ideal candidate has some hands-on experience deploying AI and workflow solutions and can translate research into production-ready solutions. Key Responsibilities: • Design, build, and deploy workflows using n8n and integrate with backend systems. • Deploy models into production environments using APIs, microservices, and cloud-native platforms. • Design, develop, and train learning models for NLP and predictive analytics. • Implement and optimize models using Python, PyTorch, and related frameworks • Monitor, evaluate, and improve model performance, scalability, and reliability. • Research and experiment with state-of-the-art AI/ML methods (LLMs, transformers, generative AI). • Collaborate with cross-functional teams to integrate AI capabilities into applications and workflows. • Document model architectures, experiments, and workflows to ensure reproducibility. • Ensure AI solutions adhere to data privacy, compliance, and ethical AI practice. Key Qualifications: • 0-2 years of experience in AI or related field • Bachelor’s degree in computer science, Data Science, AI/ML, or related technical field (Master’s preferred). • Any experience using n8n/ Temporal workflow automation platforms is a BIG plus • Expertise in programming languages such as Python, big data technologies (e.g., Spark, Hadoop) and data manipulation libraries (e.g., Pandas, NumPy). • Solid knowledge of classical ML algorithms, deep learning architectures, and modern AI techniques, large language models (LLMs), generative AI, and reinforcement learning. • Any hands-on experience with Microsoft technologies, including Azure cloud platform and Azure OpenAI building, training and deploying models is a BIG plus. • Strong understanding of software engineering best practices (Git, CI/CD) Preferred Qualifications: • Prior experience in healthcare, regulatory technology, or enterprise automation is a plus. • Knowledge of data governance, security, and compliance frameworks (HIPAA, GDPR, FedRAMP) is a plus • Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.) is a plus • Contributions to open-source AI projects or research publications is a plus • Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus Work Conditions • Location: Hybrid – At least 4 days onsite in Tysons Corner, VA. • Job Type: Full-time About Centennial Technologies Inc.: Centennial Technologies Inc. is committed to a healthy work-life balance and provides a collaborative and supportive professional environment. We offer flexible PTO, casual work culture, and regular opportunities for career advancement and skills development. Benefits include: • Medical, Dental, and Vision Insurance • Short-Term and Long-Term Disability • Life Insurance • 401(k) Retirement Plan • Paid Time Off and Federal Holidays Our Culture: • Supportive work environment that promotes work-life balance • Performance-based rewards and recognition • Regular employee feedback and collaboration • Paid training in emerging technologies and federal compliance • Client-focused, employee-centered growth Equal Opportunity Employer: Centennial is an equal opportunity employer and complies with all applicable federal, state, and local employment laws State: DMV Virginia City: Tysons Corner Category: Information Technology & Services Work Arrangements: Full Time

Full-timeTysons, US

Generative AI Engineer

Talon • Tysons, US

Generative AI Engineer Direct hire role Hybrid onsite 3 days a week in Tysons, VA We are seeking an AI Engineer to design, develop, and deploy scalable LLM-powered solutions leveraging AWS cloud services, Snowflake, and modern GenAI frameworks. This role will focus on building production-grade AI systems, optimizing LLM inference, and integrating enterprise data platforms with cutting-edge AI technologies. The ideal candidate will have a combined background in cloud engineering expertise with hands-on experience in prompt engineering, foundation models, agentic AI systems, and data pipelines within Snowflake and AWS ecosystems Key Responsibilities AI & Generative AI Development - Design, develop, and deploy LLM-powered applications and agentic AI systems in production environments. - Implement advanced prompt engineering strategies including: - Prompt chaining and multi-turn orchestration - Few-shot learning and in-context learning - Chain-of-Thought (CoT) and Tree-of-Thought (ToT) prompting - Function calling and tool use optimization - Structured output generation (JSON, XML schemas) - Build and optimize Retrieval-Augmented Generation (RAG) systems integrating Snowflake data with LLMs. - Evaluate and fine-tune foundation models via AWS Bedrock or other managed AI services. - Develop guardrails for AI systems including hallucination mitigation, grounding, and safety controls. - Implement LLMOps best practices for model lifecycle management: - Model versioning, deployment, and rollback strategies - Prompt versioning and experimentation frameworks - Monitor and observe LLM application performance using observability tools. - Evaluation frameworks for LLM outputs Cloud & Platform Engineering (AWS) Architect scalable AI solutions using AWS services such as: - Bedrock - Sagemaker – Access and fine-tune foundation models - Lambda – Serverless LLM application deployment - EC2 – GPU-accelerated inference and batch processing - Step Functions – Orchestrate complex LLM workflows and agentic pipelines - CloudWatch – Monitoring, logging, and alerting for AI systems Data Engineering & Snowflake Integration - Build and optimize data pipelines between Snowflake and AI services. - Design feature stores and embeddings pipelines using Snowflake. - Leverage Snowflake's Cortex LLM functions for in-database AI operations. - Implement vector search and semantic search capabilities. - Work with structured and unstructured enterprise data. - Ensure data quality, governance, and security. - Optimize Snowflake queries for AI workloads and cost efficiency. AI Application Development - Build APIs and backend services to operationalize AI solutions. - Integrate LLM/AI systems into internal applications, sales tools, or analytics platforms. - Implement streaming and real-time inference for low-latency AI applications. - Collaborate with stakeholders to translate use cases into production AI systems. Required Qualifications - 5+ years of experience in AI/ML, Software or Data engineering. - Proficiency in Python with solid understanding of ML fundamentals - Strong hands-on experience with AWS, APIs and microservices architecture - Experience integrating AI solutions with data systems like Snowflake. - Practical experience with prompt engineering - Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar - Experience with agentic frameworks (AutoGen, CrewAI, or equivalent). Preferred Qualifications - Experience building RAG pipelines in enterprise environments. - Knowledge of MLOps best practices. - Experience with vector databases and embeddings. - Familiarity with model evaluation frameworks (e.g., LLM eval metrics). - Experience implementing AI governance and responsible AI practices. - Background in sales, media, marketing analytics, or enterprise data platforms (a plus).

Full-timeTysons, US

Software Engineer 3 (AI-Enabled Development)

Leidos • Gaithersburg, US

Full-timeGaithersburg, US

Description Software Engineer (AI-Enabled Development) UK NATS Flight Data Processing (FDP) Leidos is hiring a Software Engineer (AI-Enabled Development ) to support the National Air Traffic Services (NATS) Flight Data Processing (FDP) Evolution program. This US Based position can be in any of our three locations; Gaithersburg, MD, Eagan, MN or Egg Harbor, NJ. is your chance to work on real-time, safety-critical systems that directly impact national air traffic operations for the United Kingdom. This position is hybrid and will be required to work 3 days onsite and 2 days from home office. This role focuses on building and modernizing real-time, safety-critical systems using a combination of traditional systems engineering and AI-augmented software development practices. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability. What You’ll Do • Design, develop, test, and maintain software for real-time, high-availability systems. • Use AI-assisted development tools to accelerate coding, refactoring, debugging, and test creation. • Apply AI responsibly across the full SDLC, including requirements analysis, design support, implementation, testing, documentation, and code review. • Participate in Agile ceremonies including daily stand-ups, sprint planning, and release reviews. • Analyze complex system requirements and translate them into efficient, maintainable software designs. • Engineer and maintain automation scripts deployed across development, test, and production environments. • Promote code reuse, software quality, and cross-team collaboration. Required: AI-Driven Engineering Experience We are specifically looking for engineers who actively use AI as part of their daily development workflow. • Hands-on experience with AI-assisted coding tools (e.g., Claude Code or similar) for: • Code generation and refactoring • Debugging and test creation • IDE-based workflows • Working knowledge of large language model platforms (OpenAI, Anthropic, Google Gemini). • Experience designing and refining effective prompts and validating AI-generated outputs. • Understanding of human-in-the-loop development, traceability, and responsible AI use. • Ability to evaluate AI outputs for correctness, performance, bias, and safety, especially in regulated or safety-impacting environments. • Experience incorporating AI/ML techniques into the software development process. • Experience with test automation. Core Technical Qualifications: • Bachelor’s degree in Computer Science or related field and 4 – 8 years of prior relevant experience or Masters with 2 – 6 years of prior relevant experience. • Strong experience with object-oriented programming. • Proficiency in C, C++, and/or Ada (Ada preferred but optional). • Experience developing real-time, multi-threaded software. • Familiarity with Linux (Red Hat), virtual machines, and hypervisors. • Experience with low-level communications (TCP/IP, UDP, SCTP). • Familiarity with hardware or CAS integration. • Experience using source control and configuration management tools. • Strong communication skills and ability to work independently or within a team. • Ability to obtain and maintain a public trust security clearance. • Ability to obtain an SF-85 preferred. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: February 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for

Agentic AI Engineer

Booz Allen Hamilton • McLean, US

Agentic AI Engineer The Opportunity: We are looking for a highly skilledAgentic AI Engineerto join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment. What You'll Work On: • Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen. • Develop and deploy multi-agent systems using MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols to facilitate communication, tool usage, and collaborative task solving. • Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention. • Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama. • Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop. Join us. The world can't wait. You Have: • 5+ years of experience in software development • 2+ years of experience with GenAI, LLMs, and agentic workflows • Experience withLangChain, LangGraph,AutoGen, orLlamaIndex • Experience withModel Context Protocol (MCP)for tool integration andA2Afor agent-to-agent collaboration • Experience inRAGarchitecture andKnowledge Graphs, including Neo4j or NebulaGraph • Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA • Knowledge of modern software design patterns, including microservice design or edge computing • Ability to obtain a Secret clearance • Bachelor's degree in a Computer Science or AI field Nice If You Have: • Experience deploying agentic systems in a production environment • Experience deploying agents on edge devices such as Android or local models • Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results • Master's degree in a Computer Science or AI field preferred; Doctorate degree in Computer Science or Statistics a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

AI Engineer

CNSS • National Security Systems • Capitol Heights, US

Full-timeCapitol Heights, US£87,000 - 197,000

CNSS • National Security Systems is seeking an AI Engineer to work on mission-critical AI systems. The role involves designing, implementing, and maintaining AI workflows while collaborating with cross-functional teams to solve complex challenges in intelligence collection and processing. Responsibilities • Lead or contribute to cross-functional teams to develop and operationalize AI solutions that help solve our most challenging problems • Apply modern engineering techniques to design, develop, deploy, and maintain end-to-end AI workflows spanning model training, inference, and performance monitoring • Adapt and integrate diverse AI model architectures including computer vision systems, natural language processors, audio processors, large language models (LLMs), and multi-modal frameworks to address complex mission-critical challenges • Monitor and maintain AI products through systematic identification of performance degradation and computational inefficiency and address these challenges through regular retuning and fine-tuning to ensure continued alignment with evolving mission needs and organizational goals • Maintain knowledge of current AI research and adapt emerging techniques to intelligence applications • Test and evaluate AI solutions against mission requirements and produce actionable recommendations Skills • Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work • Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application • For all of the Engineering degrees, if program is not ABET accredited, it must include specified coursework • Specified coursework includes courses in differential and integral calculus and 5 of the following 18 areas: (a) statics or dynamics, (b) strength of materials/stress-strain relationships, (c) fluid mechanics, hydraulics, (d) thermodynamics, (e) electromagnetic fields, (f) nature and properties of materials/relating particle and aggregate structure to properties, (g) solid state electronics, (h) microprocessor applications, (i), computer systems, (j) signal processing, (k) digital design, (l) systems and control theory, (m) circuits or generalized circuits, (n) communication systems, (o) power systems, (p) computer networks, (q) software development, (r) Any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, or soil mechanics • For degrees in Computer Science or Engineering, entry is with an Associate's degree plus 2 years of relevant experience, or a Bachelor's degree and no experience, or a Master's degree and no experience • For degrees in Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical or Biological Sciences, entry is with an Associate's degree plus 3 years of relevant experience, or a Bachelor's degree and 1 year of relevant experience • Relevant experience must be in one or more of the following: implementing production scale AI/ML (Artificial Intelligence / Machine Learning) solutions, distributed model training, distributed AI/ML systems, AI/ML performance monitoring, platform engineering, cloud engineering, developing deep learning models, neural networks, sustaining/maintaining AI/ML models, implementing AI/ML algorithms, AI/ML model development and deployment, DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization • For degrees in Computer Science or Engineering, entry is with an Associate's degree plus 5 years of relevant experience, or a Bachelor's degree plus 3 years of relevant experience, or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and no experience • For degrees in Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical or Biological Sciences, entry is with an Associate's degree plus 5 years of relevant experience, or a Bachelor's degree plus 3 years of relevant experience, or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and 1 year of relevant experience • Relevant experience must be in one or more of the following: implementing production scale AI/ML solutions, distributed model training, distributed AI/ML systems, AI/ML performance monitoring, platform engineering, cloud engineering, developing deep learning models, sustaining/maintaining AI/ML models, implementing AI/ML algorithms, AI/ML model development and deployment, DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization • For degrees in Computer Science, E

AI Engineer

CNSS • National Security Systems • Seven Corners, US