Find Your Next AI & Tech Job

A technology solutions firm in the United States seeks a Lead AI Engineer to spearhead innovative AI solutions for mission-critical operations. You will design, build, and deploy advanced machine intelligence applications, develop optimization strategies for NLP systems, and collaborate with teams to integrate AI models into operational systems. This role requires extensive experience in AI application development and a strong background in Natural Language Processing. Competitive compensation is offered.

A leading AI-driven firm in Baltimore is looking for experienced Mathematics, Biology, Chemistry, and Physics professionals. The ideal candidates will apply their STEM expertise to identify high-impact research and develop robust solutions using Python. Responsibilities include translating research, solving complex problems, and conducting quality control on code and tests. This part-time role offers flexible hours and immediate start, perfect for data science experts eager to shape the future of intelligent systems. #J-18808-Ljbffr

A leading research laboratory is seeking an early-career researcher to join their Artificial Intelligence Group. The role involves conducting cutting-edge AI research, contributing to team projects, and pursuing publication opportunities. Candidates should have a PhD in AI-related fields, a strong publication record, and proficiency in Python and its frameworks. This position offers a competitive salary, starting at $105,000 and going up to $245,000 annually, along with generous benefits and a supportive work environment.

Data Scientist – NLP / Generative AI Location: Hybrid – Arlington, Virginia Employment Type: Full-time BizFirst is assisting our client with the hiring of a Data Scientist specializing in natural language processing and generative AI to help the organization move from early experimentation into production-ready AI capabilities. This is a hands-on research and engineering role where you will own the design and delivery of NLP and GenAI solutions applied directly to the client’s most complex internal workflows. Our client is a mid-market professional services organization that is actively rethinking how it designs and executes its core business operations through artificial intelligence and automation. The company is building a dedicated AI capability to embed machine learning and generative AI into its most critical internal workflows – from decision support and process automation to real-time analytics and intelligent document processing. What will you do The ideal candidate brings 5–8 years of applied data science experience with a deep specialization in NLP and a working command of modern generative AI techniques. You have built production NLP systems, worked with transformer-based architectures, and have direct experience with large language models – including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG). You are comfortable moving between research and engineering as the work demands. Responsibilities: • Design and build NLP and generative AI solutions applied to internal business processes, including document understanding, classification, summarization, and conversational AI. • Develop, fine-tune, and evaluate large language models and transformer-based architectures for domain-specific applications. • Build and iterate on retrieval-augmented generation (RAG) systems, embedding pipelines, and vector search infrastructure. • Work closely with business and operations stakeholders to scope problems, define evaluation criteria, and validate model outputs against real-world requirements. • Analyze and interpret model behavior, identify failure modes, and develop mitigation strategies to ensure reliable, responsible outputs. • Collaborate with ML engineers and platform teams to move experiments into production pipelines. • Document experimental methodology, data lineage, and model evaluations to support reproducibility and knowledge sharing. • Stay current on developments in NLP research and GenAI tooling, bringing relevant advances into the team’s work quickly. Requirements: US Citizen or Permanent Resident authorized to work in the United States. Experience: 5–8 years of applied data science experience with a strong focus on natural language processing and text-based systems. NLP & GenAI: Hands-on experience with transformer architectures (BERT, GPT, T5, or similar), fine-tuning workflows, and production deployment of language models. RAG & Embeddings: Direct experience building retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS, or equivalent), and semantic search systems. Programming: Strong Python skills; proficiency with HuggingFace Transformers, LangChain, or similar GenAI tooling. Evaluation: Experience designing rigorous evaluation frameworks for generative models, including human evaluation, LLM-as-judge approaches, and automated benchmarking. Preferred: Experience applying NLP in a professional services, legal, finance, or consulting domain. Familiarity with responsible AI practices, including bias assessment, output auditing, and hallucination mitigation. Background in information extraction, named entity recognition (NER), or document intelligence. Experience with cloud-based GenAI services (OpenAI API, Anthropic API, AWS Bedrock, Azure OpenAI, or GCP Vertex AI). Graduate degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics, or a related field. Benefits: • Family Health Care (54% cost covered for the entire family) • Family Dental (54% cost covered for the entire family) • Family Vision (54% cost covered for the entire family) • Flexible Spending Account • Performance bonuses tied to project and delivery milestones • Lifetime Event Bonuses (e.g., new child, marriage) • Profit-sharing arrangement for any work brought into the company • Unlimited Leave with Approval • 401k – 100% employer match on first 4% invested • $1,500 annual training and conference budget Job Type: Full-time, Permanent Position Work Authorization: US Citizen or Permanent Resident; no active security clearance required. Schedule: Monday to Friday Work Location: Hybrid – Arlington, Virginia

A technology consulting firm based in Arlington is seeking a full-time Data Scientist. This position is focused on supporting and scaling data-driven initiatives across analytics and machine learning. The ideal candidate will possess strong experience in data science and analytics, with at least one year of proficiency in Python or R. The role involves analyzing large datasets, designing statistical models, and partnering with cross-functional teams to provide actionable insights. Competitive salary range from $98,000 to $163,000, along with a comprehensive benefits package. #J-18808-Ljbffr

Andrew Morgan, LLC is a rapidly growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone-certified organization. We are seeking a qualified AI / Data Scientist to support a potential contract award with a DOD Client. This role is contingent upon contract award and will play a critical part in our efforts to deliver exceptional results for this opportunity. RESPONSIBILITIES: The AI / Data Scientist applies advanced analytics and machine learning techniques to enhance metadata automation and discovery. • Apply AI tools to generate metadata and data dictionaries • Support semantic search and discovery capabilities • Evaluate AI readiness of data assets • Collaborate on AI-enabled governance workflows • Ensure responsible AI use aligned with DoD principles REQUIREMENTS: • Hands-on experience applying machine learning, NLP, or advanced analytics in enterprise environments • Strong Python skills and familiarity with modern data science toolchains • Experience developing or applying models for text processing, semantic search, or classification • Familiarity with metadata automation, data enrichment, or intelligent discovery use cases • Understanding of model validation, bias considerations, and responsible AI practices • Experience collaborating with data engineers and architects on production solutions • Strong documentation and explainability skills • Eligibility for Tier 1 background investigation SALARY: Salary is commensurate with both location and experience. THE AM EMPLOYEE WILL DISPLAY… • Attention to Detail: Produce high-quality deliverables and outputs that align with contract outcomes. • Self-Sufficiency: Execute tasks independently, seeking client assistance only after internal resources are exhausted, ensuring requests align with contract goals. • Teamwork: Collaborate effectively with team members, including AMC resources, subcontractors, and government stakeholders. • Communication/Engagement: Maintain professional conduct in meetings and written communication, participating actively with cameras on. • Responsiveness: Stay engaged, communicate promptly, and ensure deadlines are consistently met. ABOUT ANDREW MORGAN… Andrew Morgan, LLC, founded in 2017 and headquartered in Alexandria, VA, is a Service-Disabled Veteran Owned Small Business (SDVOSB) and a certified HUBZone Small Business. We specialize in delivering high-quality consulting services to both federal and commercial clients, offering expertise in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our distinguished clientele includes the Department of Veterans Affairs (VA), National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), and the United Stated Army Corps of Engineers (USACE). We are committed to providing innovative solutions and exceptional service to support our clients' missions and objectives. BENEFITS: • 15 days of Paid Time Off + 11 Paid Federal Holidays • 401K Program (up to 5% employer matching) • Three Gold Healthcare Options (with 75%-90% employer-paid premiums) • Flexible Spending Account / Dependent Care Assistance Program • Employer Paid Short Term Disability • Professional Training and Development • Corporate Team Building Events • And MORE! Join AM Today! EQUAL OPPORTUNITY EMPLOYER: Andrew Morgan Consulting does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law.

Strategic Analysis, Inc. (SA) Is actively seeking a Health Data Scientist to provide technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases. This is a Science and Engineering and Technical Advisor (SETA) role focused on ensuring that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use. In this role, Health Data Scientist will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will help define what success means for AI diagnostics in rare disease contexts and ensure that technical progress translates into meaningful clinical insight and patient impact. This role is ideal for someone who combines deep experience with healthcare data and AI evaluation with the ability to critically assess methodologies, anticipate failure modes, and translate clinical realities into measurable technical criteria. Roles and Responsibilities: 1. Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. 2. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. 3. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. 4. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. 5. Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs. 6. Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions. 7. Serve as a technical bridge between AI developers, clinical experts, and program leadership. 8. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. 9. Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes. 10. Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. This role is suited to candidates who: -Think deeply about measurement, validity, and scientific rigor. -Are comfortable exercising judgment in ambiguous or under-specified evaluation contexts. -Maintain high standards for data quality and methodological integrity. -Communicate clearly across clinical, technical, and programmatic audiences. -Operate with ownership and accountability in high-stakes environments. -Are motivated by advancing AI systems that deliver real clinical and patient impact, not just strong metrics. Minimum Qualifications: -PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. -5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. -Hands-on experience with EHR, genomic, or multimodal healthcare datasets. -Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. -Demonstrated ability to critically review and assess technical work across health data and AI domains. -Strong understanding of data governance, privacy, and compliance in healthcare contexts. -Excellent written and verbal communication skills, with experience producing high-quality technical materials. Preferred Qualifications: -Domain expertise in rare disease, diagnostics, or clinical decision support. -Prior experience in technical advisory, evaluation, or SETA-style roles. -Experience collaborating closely with clinicians and healthcare stakeholders. -Experience working in fast-paced, multi-stakeholder, or early-stage environments. Education: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. Location: Position is remote. Travel: Periodic travel may be required Clearance: Ability to obtain HHS Public Trust. PI283014908

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a Senior Data Scientist, Cross-Domain AI to drive advanced analytics and predictive modeling across a complex, data‑rich environment supporting AI‑enabled and autonomous systems. This role focuses on transforming large, heterogeneous datasets into actionable insights and production‑quality models that inform both machine learning development and executive decision‑making. The ideal candidate combines rigorous statistical methodology with strong engineering discipline, building robust analytical pipelines and continuously improving models through feedback‑driven training and operational data. Key Responsibilities • Perform exploratory data analysis, data cleaning, and data preparation across diverse and complex datasets • Transform raw, messy, and heterogeneous data (e.g., sensor, telemetry, operational, and production data) into analysis‑ready and ML‑ready formats • Build predictive and statistical models, including physics‑informed and constraint‑based machine learning approaches • Design feature engineering frameworks and state‑space representations for reinforcement learning and optimization use cases • Develop recursive and online training pipelines that continuously retrain and refine models as new data becomes available • Apply time‑series analysis techniques to identify trends, anomalies, and leading indicators in operational data • Implement MLOps best practices, including experiment tracking, model versioning, automated validation, and production monitoring • Build production‑quality analytical pipelines using Python and SQL with robust validation and testing • Develop causal and statistical models linking process inputs to performance outcomes • Create analytics, dashboards, and visualizations that translate complex findings into executive‑ready insights • Collaborate cross‑functionally with engineering, operations, and product teams to support data‑driven decision‑making Qualifications Education • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Physics, Engineering, or a related quantitative field • Equivalent practical experience will be considered Experience • A minimum of 6 years of professional data science experience • Demonstrated experience deploying production‑quality analytical or machine learning models Preferred Qualifications • Experience working with industrial, scientific, or operational datasets • Background in advanced modeling techniques such as reinforcement learning, causal inference, or uncertainty quantification • Experience supporting analytics across complex systems or multi‑disciplinary environments • Familiarity with recursive, online, or continuous learning workflows • Advanced academic training or published applied research in a quantitative field Soft Skills • Strong interpersonal and collaboration skills across cross‑functional teams • Excellent written and verbal communication skills • Ability to clearly present complex analytical findings to technical and non‑technical stakeholders • Meticulous attention to detail to ensure accuracy and reproducibility of models and analyses • Strong problem‑solving skills and intellectual curiosity • Ability to operate effectively in fast‑paced, ambiguous environments Technology Stack • Python data science and ML ecosystem (e.g., pandas, NumPy, scikit‑learn, PyTorch or TensorFlow) • Statistical and probabilistic modeling tools (e.g., statsmodels, Bayesian frameworks) • SQL and data warehousing technologies • MLOps and experiment tracking tools (e.g., model registries, monitoring, CI/CD for ML) • Data visualization and dashboarding tools Physical Requirements • Ability to work in a standard office or remote environment • Ability to use a computer for extended periods • Ability to participate in meetings and collaborative working sessions This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Director, Data Scientist - Generative AI Systems 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 Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling. We partner with product, tech and design teams to deliver internal applications based on these solutions that drive efficiency in our business and data analytics teams, as well as customer-facing applications that enhance the customer experience. You will lead a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences. Role Description In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. • Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. • 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. • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. • 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. 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 9 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 plus 7 years of experience performing data analytics • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics • At least 4 years of experience leveraging open source programming languages for large scale data analysis • At least 4 years of experience working with machine learning • At least 4 years of experience utilizing relational databases Preferred Qualifications: • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics • At least 1 year of experience working with AWS • At least 3 years of experience managing people • At least 5 years of experience in Python, Scala, or R for large scale data analysis • At least 5 years of experience with machine learning Capital One will consider sponsoring a n

The Asia Group (TAG) is now accepting applications for a Entry-Level Data Scientist – AI Chatbot Development to join our Team. This role will be based in Washington, DC. The Asia Group is a dynamic strategic advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets across the Indo-Pacific region. Our team includes a diverse mix of partners and staff possessing decades of government, private sector, academia, and military experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast paced and demanding yet strives to be flexible and fun. Beyond the pursuit of professional success, our leadership actively embraces the challenges and opportunities associated with growing a highly successful firm, including by investing time and energy in mentoring and leading staff. The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a recent graduate or someone changing careers who is looking to gain hands-on experience in a fast-paced environment. The successful candidate will have a strong foundation in statistical analysis and natural language processing (NLP), along with a desire to learn and grow within the rapidly evolving field of AI and data science.

A consulting firm is seeking a Data Scientist, Modeling Lead in Arlington, VA to maximize client data value and automate processes. Responsibilities include leading data modeling, developing dashboard solutions, and ensuring data governance. A Bachelor's degree and 3+ years in data analytics or consulting are required. The firm offers competitive rewards including medical insurance, paid time off, and tuition reimbursement. This position may require obtaining a Federal Public Trust clearance. #J-18808-Ljbffr

This a Full Remote job, the offer is available from: Europe About Entrupy Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods. Entrupy’s solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy’s solutions in market: ● Entrupy Apparel Authentication ● Entrupy Bags & Leather Goods Authentication ● Entrupy Sneaker Authentication ● Entrupy Fingerprinting As we continue to build... We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply. About the role We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting. In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimization of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust. As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects, and contribute to thought leadership in the computer vision domain. Reports to: ML Manager Location: Remote: Sofia, Bulgaria, Poland preferred and open to Eastern Europe What You'll Do: Leadership & Strategy • Define the technical roadmap for computer vision projects, aligning with business goals and customer needs. • Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence. Advanced Research & Algorithm Development • Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications. • Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability. Scalable Systems & Model Deployment • Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems. • Optimize algorithms for edge device deployment, focusing on latency, accuracy, and power consumption. Collaboration & Stakeholder Engagement • Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions. • Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance. Operational Excellence • Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards. • Analyze production data to identify opportunities for continuous improvement in algorithms and systems. Who you are: • Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field. • Experience: 4-7 years in computer vision and machine learning development. • Core Expertise: • * Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies. • Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA. • Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines. • Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray. • Mathematical Proficiency: Strong foundation in probability, statistics, optimization, linear algebra, and geometry. • EdgeML Experience: Skilled in deploying and optimizing models for iOS devices, with a focus on real-time data processing and resource efficiency. • Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams. • Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges. What we offer • Market competitive and pay equity-focused compensation structure • Generous time away, including company holidays, paid time off, sick time, parental leave, and more! • The agency to innovate, directly impacting product feature

Job Overview We are looking for a senior C/C++ engineer to take an already-specified computer vision demo codebase and compile, integrate, and package it into a working macOS application (.app) for internal demo use. This is not a research role and not a greenfield build. The system architecture, kernel, CLI wrapper, and packaging blueprint are already defined. Your job is to: • finalize build integration • validate runtime behavior • bundle dependencies • produce a stable Apple Silicon .app demo package The work is highly specified and should be completed quickly and precisely by the right engineer. What You Will Be Working On: You will be working on a deterministic computer vision demo system that: • runs a fixed-point C kernel (no floating point math) • processes raw video frames (.yuv) • renders a 3-pane OpenCV visualizer • streams live NDJSON telemetry to a terminal • is packaged into a macOS .app for presentation to hardware partners The core executable (cosimo_demo) already exists in specification form. Your task is to make it build, run, and package cleanly. Scope of Work: 1. Build & Integration: • Wire and validate CMake build: • root CMakeLists.txt • core/ (C deterministic kernel) • cli/ (C++ wrapper) • Ensure successful build on Apple Silicon (arm64) 2. Runtime Validation: • Verify cosimo_demo runs correctly: • frame ingestion from .yuv • kernel execution (cosimo_compute_d0) • 3-pane OpenCV visualizer • quiver (vector) overlay rendering • Validate CLI modes: • standard run • --headless • telemetry rate control 3. Telemetry & I/O: • Ensure strict telemetry contract: • NDJSON output to stdout • fflush(stdout) after each line • no mixing of logs into stdout • all diagnostics → stderr • Validate latency measurement: • must reflect kernel execution only 4. Fixture Validation: • Confirm all demo fixtures: • are 1920x1080 • luma8 • valid .yuv streams • Ensure system fails cleanly on malformed input 5. macOS Packaging (.app): • Execute packaging script: • bundle executable into .app • include fixtures • bundle OpenCV dependencies (dylibbundler) • Validate: • Finder launch • AppleScript launcher behavior • fixture selection prompt • terminal telemetry window • visualizer window 6. Final Validation: • Run full demo locally: • verify all fixture modes • confirm no crashes • confirm telemetry + visuals behave correctly • Deliver: • working .app • zipped distribution package • brief build/run notes What You Are NOT Doing: • No ML model development • No new algorithm design • No architecture redesign • No blockchain / backend work • No UI/UX redesign This is a precision execution and packaging task, not an exploratory project. Required Skills: • Strong C/C++ (5+ years) • OpenCV (desktop apps) • CMake build systems • macOS development (especially Apple Silicon) • Dynamic library handling (.dylib, install_name_tool, dylibbundler) • CLI applications and debugging • File I/O (binary / raw frame data) Strongly Preferred: • Experience packaging macOS .app bundles • Experience with ARM64 environments • Experience shipping internal tools or demos • Experience debugging native runtime issues Nice to Have: • SIMD / low-level performance awareness • Experience with video pipelines or frame processing • Familiarity with deterministic or fixed-point systems Project Timeline: • Expected duration: 1 or 2 days, depending on how experienced and efficient you are. • If you do a good job, we have more work for you. This is a discrete assignment to determine how efficient and effective you can be with instructions and objectives. This assumes: • codebase is already defined (it is) • work is integration + packaging (not new development) Deliverables: • Fully working Apple Silicon .app • Verified execution across all demo fixtures • Clean telemetry output • No runtime dependency issues • Short documentation (build + run instructions) How to Apply: Please include: 1. Relevant examples of: • C/C++ + OpenCV work • macOS packaging or native apps 2. Confirmation you’ve worked with: • CMake • macOS .app packaging 3. Estimated time to complete (in hours) Final Note We are looking for someone who can: take a well-defined system and execute it cleanly, quickly, and without introducing ambiguity If you tend to over-engineer or redesign things unnecessarily, this is not the right fit. If you are precise, fast, and experienced in native systems and packaging, this should be a straightforward and rewarding project. ADDITIONAL CONFIDENTIAL SOFTWARE INSTRUCTIONS WILL BE GIVEN UPON HIRING.

This a Full Remote job, the offer is available from: United States, Pakistan, Arizona (USA) Taraki is hiring for one of its clients in US.  Role Overview This is an opportunity to become a key contributor to a growing organization focused on solving high-impact mobility problems. The Senior Computer Vision AI Software Engineer will lead engineering efforts, design and implement advanced software systems, and collaborate with cross-functional teams to deliver reliable AI-powered solutions. Responsibilities Business Responsibilities - Contribute to the companys growth strategy and technical direction - Collaborate across multiple teams working on mobility and transportation technologies - Troubleshoot and support field applications - Work within a Scrum/Agile development environment - Conduct knowledge transfer and training for engineers - Mentor team members and conduct one-on-one meetings Technical Responsibilities - Develop high-quality real-time embedded software focused on performance and reliability - Apply computer vision and deep learning techniques to analyze LiDAR, video, and radar data - Build perception algorithms for object detection, classification, and tracking - Define requirements for hardware, software, and communication systems - Develop embedded firmware in C++ - Build and maintain data pipelines and datasets for model training - Integrate deep learning models into perception systems - Maintain solutions for object recognition and obstacle detection - Produce clear technical documentation from architecture to implementation guides - Conduct technical analysis of optical devices such as LiDAR - Implement best practices including automated testing, CI/CD, code reviews, and code standards - Design systems resilient to failures - Work with vendors and technology partners to resolve technical issues - Stay current with research in AI and computer vision Required Skills and Experience - 4–8+ years of experience in technology development and engineering leadership - Strong proficiency in C++ and Python (minimum 5 years) - Experience developing on Linux platforms - Expertise in computer vision, machine learning, or deep learning systems - Experience with Kalman filters and model development for object detection and classification - Experience processing sensor data from cameras, LiDAR, radar, and sensor fusion systems - Strong software design, system architecture, and algorithm development skills - Experience building distributed or real-time embedded systems - Ability to write maintainable, production-grade software Preferred Qualifications - Experience with NVIDIA Jetson edge devices (Nano, NX, Orin) - Familiarity with NVIDIA libraries such as TensorRT and DeepStream - Experience with robotics or perception systems - Knowledge of networking, multithreading, and distributed systems - Experience with data labeling and image annotation - Knowledge of cloud architecture or web systems Education BS, MS, or PhD in Computer Science, Robotics, Artificial Intelligence, Software Engineering, Electrical Engineering, Applied Mathematics, Physics, or a related field. Soft Skills - Strong problem-solving ability - Excellent communication and collaboration skills - Ability to work independently and in fast-paced environments - Ability to prioritize tasks and explain technical decisions clearly This offer from "Taraki App" has been enriched by Jobgether.com and got a 75% flex score.

Join us in improving and shaping the future of the smart mobility with a group of intelligent, motivated, and dedicated individuals! Leidos operates the Federal Highway Administration's (FHWA) Saxton Transportation Operations Laboratory (STOL) , a US Department of Transportation (USDOT) onsite R D lab located at the Turner Fairbank Highway Research Center . STOL's focus is on improving transportation system operations to achieve USDOT's safety, mobility, sustainability and equity goals. STOL spearheads a variety of exciting R D projects involving emerging technologies, including but not limited to infrastructure and vehicle connectivity and automation, everything-in-the loop simulation, and AI/ML modeling in a fast-paced and collaborative laboratory environment to solve novel transportation research problems. Learn about STOL here : https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL To promote these efforts, Leidos is looking for a onsite mid-level Software Engineer to join our team! CANDIDATE MUST be able to work onsite full time in McLean, VA AND have the Ability to obtain and maintain a Public Trust security clearance ( which includes current three years immediate residency in the US ). Primary Responsibilities: Analyze and assess the team's existing ITS software systems to understand their architecture, and how they can be redesigned into more modular, scalable, and maintainable components. Contribute to internal best practices for software development and lead knowledge sharing to support adoption across development teams. Work with cross-functional internal team to determine technical feasibility of projects, breakdown project goals into software development tasks, and assist with overall effort and timeline estimation of planned work. Lead the execution of planned technical work, including design work, addressing unplanned technical challenges, and being responsive to changes in customer needs. Directly interact with on-site customer representatives and external stakeholders to communicate across technical disciplines as needed throughout a project's life cycle. Lead development for research prototypes and proof-of-concepts for various intelligent transportation systems (ITS) applications across a variety of ITS devices, including infrastructure, vehicle, and cloud systems. Participate in and help shape our open-source software process, triaging and addressing issues reported by external users and evaluating 3rd party code contributions. Identify, document, and formulate approaches to addressing areas of technical debt. Conduct hands-on test events and demonstrations, on-site at TFHRC and off-site at test facilities. Minimal Qualifications: Interest in working with emerging technologies and shaping the future of transportation. A Bachelor's degree in computer science or engineering with at least 4 years of professional experience in object-oriented software development, or a Master's degree with at least 2 years of professional experience in object-oriented software development. Experience and familiarity with manual memory management in languages like C/C++. Experience in developing solutions to open-ended research questions and developing novel approaches to solving problems. Strong ability and interest to learn new problem domains, new skills, algorithms, and concepts. Interest and motivation to develop software to answer valuable research questions to advance transportation technology. Experience with Git. Experience with Docker (including docker-compose). Experience developing in an Agile framework using toolsets such as JIRA and Confluence. Proficiency in software quality techniques and practices (automated unit testing, test-driven design/development, CI/CD pipelines with GitHub Actions, static code analysis tools, etc.). Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics. Preferred Qualifications: Extensive experience designing, implementing, and maintaining C++, Java, and Python software packages in a Linux environment. Experience with Linux build systems and package management systems. Experience with Kafka or similar message broker systems. Experience with Robot Operating System (ROS). Experience with user interface (UI) and/or front-end development. Familiarity with distributed computing and cloud computing concepts. Familiarity with one or more robotics concepts such as localization, path planning, perception, or sensor fusion. Familiarity with simulation environments such as SUMO or CARLA, or other simulators built in Unreal or Unity. Familiarity with existing CDA infrastructure standards and/or hardware such as those from SAE or IEEE. Experience in a fast-paced dynamic R D environment. Experience as software engineering team lead. Anticipated Salary range for this role is $95-$120k If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the sta

A leading technology company is seeking a Data and Machine Learning Engineer to develop vision language models on overhead imagery for a government customer. The role involves running data pipelines, training models, and collaborating on project workflows. Candidates should have strong experience in data querying and machine learning, along with a Bachelor's degree and active Top Secret security clearance. The position offers comprehensive benefits and opportunities for professional growth.

Your Impact Join a mission-focused team where your work truly matters. We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers. You'll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions. In this role, you will also contribute to full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems. Responsibilities: Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition. Collaborate with engineering teams to integrate vision capabilities into defense systems. Optimize performance for edge devices and embedded systems. Complete testing and validation of computer vision systems. Contribute to system architecture, technical strategy, and full lifecycle systems engineering activities. Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments. Conduct functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications. Support system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal. Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints. Mentor junior engineers and help define best practices for the team. Maintain security and compliance throughout the development lifecycle. We're looking for engineers who are: Fast-paced thinkers who enjoy solving tough problems in dynamic environments. Collaborative professionals who work effectively across disciplines and teams. Customer-focused individuals with experience engaging stakeholders, program managers, and product owners. Self-starters able to own complex tasks with minimal oversight. Lifelong learners who stay current with emerging technologies and industry trends. Strong communicators capable of translating complex ideas into clear, actionable plans. Technically aware with an understanding of evolving industry capabilities and innovations. Required Qualifications: Active TS/SCI clearance with Polygraph eligibility. Bachelor's degree in Computer Science, Data Science, or a related field; equivalent experience will be considered. 9+ years of experience in computer vision, machine learning, or closely related fields. Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required. Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management. Experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers. Familiarity with OpenCV and classical computer vision techniques. Strong engineering fundamentals, including experience with Git, Docker, and CI/CD practices. Experience with machine learning utilities such as MLflow, Optuna, and DVC. Desired Qualifications: Experience supporting government or defense-related programs. 5+ years of experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation. Knowledge of real-time video analytics, sensor fusion, or 3D perception. Experience working within secure or classified development environments. Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehen

Your Impact Join a mission-focused team where your work truly matters. We are seeking a Subject Matter Expert (SME) Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, advanced system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers. You'll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions. In this role, you will lead full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems. Responsibilities: • Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition. • Lead collaboration with engineering teams to integrate vision capabilities into complex defense systems. • Optimize performance for edge devices and embedded systems in operational environments. • Oversee testing and validation of computer vision systems to ensure mission readiness. • Lead system architecture, technical strategy, and full lifecycle systems engineering efforts. • Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments. • Conduct and guide functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications. • Support and influence system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal. • Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints. • Mentor junior and mid-level engineers and establish best practices across the team. • Maintain security and compliance throughout the development lifecycle. We're looking for engineers who are: • Fast-paced thinkers who enjoy solving tough problems in dynamic environments. • Collaborative professionals who work effectively across disciplines and teams. • Customer-focused individuals with experience engaging stakeholders, program managers, and product owners. • Self-starters able to lead complex efforts with minimal oversight. • Lifelong learners who stay current with emerging technologies and industry trends. • Strong communicators capable of translating complex ideas into clear, actionable plans. • Technically aware with an understanding of evolving industry capabilities and innovations. Required Qualifications: • Active TS/SCI clearance with Polygraph eligibility. • Bachelor's degree in Computer Science, Data Science, or a related field. • 14+ years of experience in computer vision, machine learning, or closely related fields. • Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required. • Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management. • Deep experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers. • Strong familiarity with OpenCV and classical computer vision techniques. • Advanced engineering fundamentals, including experience with Git, Docker, and CI/CD practices. • Experience with machine learning utilities such as MLflow, Optuna, and DVC. Desired Qualifications: • Experience supporting government or defense-related programs. • Extensive experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation. • Knowledge of real-time video analytics, sensor fusion, or 3D perception. • Experience working within secure or classified development environments.

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. Key job 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, Arlingt

Natural Language Processing (NLP) Specialist LOCATION Annapolis Junction, MD 20701CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)KEY SUMMARY We are seeking a talented and innovative Natural Language Processing (NLP) Specialist to join our team and work on cutting-edge language-based technologies. In this role, you will design, implement, and optimize NLP models to extract insights, process unstructured data, and enhance user interactions. Collaborating with cross-functional teams, you will develop solutions that address complex linguistic challenges and drive advancements in AI-powered applications. If you are passionate about language, data, and leveraging machine learning to solve real-world problems, we encourage you to apply! • ** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. *** SIMILAR CAREER TITLES Machine Learning Engineer, Computational Linguist, Data Scientist, AI Specialist, NLP Engineer, Text Mining Specialist, Deep Learning Engineer, Speech Recognition Engineer, Language Model Developer, Computational Scientist, etc.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Computer Science, Computational Linguistics, Data Science, Artificial Intelligence, Machine Learning, Linguistics, Information Technology, Mathematics, Cognitive Science, Software Engineering, etc.ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES • Design and implement NLP algorithms • Analyze and preprocess text data • Develop language models • Test and optimize NLP solutions • Collaborate with cross-functional teams • Provide insights from unstructured data REQUIRED SKILLS • Proficiency in Python or R • Experience with NLP libraries • Text preprocessing techniques • Statistical analysis • Machine learning model development • Data visualization skills DESIRED SKILLS • Knowledge of deep learning frameworks • Familiarity with transformer models • Experience with speech processing • Proficiency in sentiment analysis • Understanding of information retrieval • Knowledge of semantic search PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. At our company, you come first. We’re committed to creating an environment where you’ll thrive professionally and personally. We provide meaningful, challenging work using cutting–edge technologies while investing in your growth and success. With direct access to company leadership, a laid–back and inclusive atmosphere, and exceptional work–life balance, you’ll feel valued every day. We also believe in taking care of our family – both yours and ours. Our benefits are phenomenal, family–friendly, and designed with your well–being in mind. From employee and family events to career–long support, we create a community you’ll never want to leave. Ready to make your next move the best one? Join us and experience the difference. BENEFITS • Excellent Salaries • Flexible Work Schedule • Cafeteria Style Benefits • 10% - 401k Matching (Vested Immediately) • Additional 401k Profit Sharing • 30 days Paid Leave/Holiday (No Use or Lose!) • The day off for your birthday • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) • HSA/FSA • AFLAC • Long Term/Short Term Disability - 100% employee coverage. No cost to you. • Life Insurance - 100% employee coverage. No cost to you. • Additional Discretionary Life Insurance • Paid Training • No long, wordy reviews with tons of paperwork!!! • Referral bonus program with recurring annual payments HOW TO APPLY Email us at jobs@cymertek.com or apply today: www.cymertek.com Want to see what our employees think? Click here . EQUAL OPPORTUNITY EMPLOYER STATEMENT Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based

Machine Learning Engineer – NLP & Customer Analytics 6 month contract W2 only - NO C2C Remote, in the United States We are seeking a Machine Learning Engineer to help build and deploy data-driven models that improve customer experience, retention, and marketing performance. This role focuses on applying machine learning and NLP to real-world customer data, including call center transcripts and behavioral datasets. What You’ll Do • Analyze call center transcripts and unstructured text data using NLP to: • Detect customer sentiment and intent • Identify churn risk and customer complaints • Surface upsell and cross‑sell opportunities • Develop and deploy machine learning models for: • Customer churn prediction • Next Best Offer / personalization • Campaign targeting and uplift modeling • Create customer segments and propensity models • Support A/B testing, experimentation, and campaign optimization • Work with diverse data sources such as customer usage, billing, CRM, and call logs • Collaborate with data, analytics, and business teams to translate insights into action • Deploy, monitor, and improve ML models in production environments Required Qualifications • Strong Python skills (Pandas, scikit‑learn, TensorFlow or PyTorch) • Hands-on experience with machine learning and NLP • Solid SQL and data manipulation skills • Experience working with customer, marketing, or behavioral data • Experience working with unstructured data, including text and transcripts • Comfortable taking models from development through production • Experience in telecom, subscription-based, or recurring revenue businesses • Background in recommendation systems, personalization, or uplift modeling • Familiarity with speech analytics or call center data • Experience supporting experimentation frameworks or A/B testing

Job Summary : WisdomAI is on a mission to provide access and insights from data to everyone, leveraging Generative AI to transform how employees access insights within their organizations. The company is seeking exceptional ML/NLP engineers to work on fundamental problems in LLM based code-generation, document understanding, context synthesis, and LLM based agents. Responsibilities : • Build workflows/agentic pipelines for complex analytical workloads. • Design evaluation framework and carry out evaluations of our query processing engine. • Work closely with customers and founders to define the product and engineering roadmap. • Shape up the engineering culture and tech stack for the company. Qualifications : Required : • Strong analytical skills and proven ability to work with hard NLP problems. • Bachelors or Masters degree in Computer Science or related field. Preferred : • Background in search/retrieval, LLMs, and evaluation pipelines is plus. • Experience working in startup/fast paced teams is highly desirable. Company : At WisdomAI we believe data drives decisions, better. We’re putting data insights at the fingertips of every employee. Founded in 2023, the company is headquartered in San Mateo, USA, with a team of 11-50 employees. The company is currently Early Stage.

A prestigious academic institution is seeking a 1-year fixed term ML Engineer to design, develop, and deploy machine learning systems for research initiatives. The ideal candidate has strong software engineering skills and expertise in deep learning, mechanistic interpretability, and natural language processing. Responsibilities include building ML pipelines and collaborating with interdisciplinary teams. The anticipated salary range is $113,148 to $137,516 per year, with remote work eligibility included.

A healthcare AI company is seeking a Machine Learning Engineer specialized in NLP to develop systems that extract insights from clinical text. You will design NLP pipelines for text understanding and create models for document classification. Candidates should have a solid foundation in NLP, experience with transformer models, and proficiency in Python. This full-time role offers opportunities for high ownership and real impact in the healthcare sector. #J-18808-Ljbffr

Responsibilities include: • Building NLP datasets and pipelines to derive features • Formulating research hypotheses to derive alpha • Building and testing the performance of trading signals based on NLP and financial features • Launching identified signals into production REQUIREMENTS • Master’s or PhD graduate or candidate in computer science or another quantitative discipline • Proficient in Python and general software engineering principles (github, testing, dev workflow) • Strong Machine Learning/Statistics understanding • Interest in financial markets • Collaborative mindset PREFERRED QUALIFICATIONS • Prior research experience • Prior experience (fulltime or internship) in software development • Experience with deep learning, specifically NLP – PyTorch, HuggingFace, LLMs, etc. • Data science stack familiarity

GenAI / NLP Engineer MultiAgent AI Platforms (Network Planning) Hybrid Chicago, IL onsite 2 3 days per week (approximately 5 6 days per month minimum) 15 months contract + Overview Client s Network Planning team within the Commercial Systems portfolio is launching a GenAI Enablement Initiative to enhance decision support, insight generation, and usability of planning data and models. This role will support the design and delivery of a scalable, cloud-based multi-agent GenAI platform integrated with client s enterprise AI/ML ecosystem (MARS). The successful candidate will contribute to building a supervisory chatbot and specialized AI agents that deliver insights, diagnostics, workflow guidance, and automated reporting for Network Planning stakeholders. This is a net-new role supporting a growing GenAI capability. Key Responsibilities GenAI Platform & Architecture • Design and build an end-to-end, multi-agent GenAI architecture integrated with client s MARS platform, enterprise GenAI tooling, and existing ML infrastructure. • Develop a supervisory/orchestrator chatbot that routes user requests to specialized downstream agents. • Design modular, extensible AI agents to support evolving business use cases. • Ensure response traceability, accuracy, and adherence to Responsible AI, security, and governance standards. • Collaborate closely with Network Planning, MARS platform, Cloud Engineering, and Security teams. Required Skills & Experience Must-Haves • Experience architecting and building GenAI and NLP applications, ideally using multi-agent or agent-orchestrated patterns. • Hands-on experience integrating LLMs and GenAI solutions into production enterprise environments. • Proficiency in Python; Julia experience strongly preferred (or willingness to ramp quickly). • Experience working with existing enterprise AI/ML platforms (non-greenfield builds). • Strong problem-solving skills with the ability to work independently in ambiguous environments. Nice to Have • Background in machine learning or ML-driven applications. • Experience with cloud-based architectures (AWS preferred). • Familiarity with model diagnostics, explainability, or decision-support systems. Soft Skills & Expectations • Highly independent, driven, and proactive. • Strong communication skills, particularly the ability to explain GenAI concepts and outputs to non-technical stakeholders. • For senior candidates: serve as the primary GenAI thought leader, guiding design decisions and mentoring less experienced team members.

Johns Hopkins, founded in 1876, is America's first research university and home to nine world-class academic divisions working together as one university. The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Scientific Discovery, Engineered Systems, Security & Safety, and People, Policy & Governance. DSAI seeks a Research Software Engineer - Clinical NLP Specialty with strong academic background and relevant experience in industry or academia focused on designing and building state-of-the art clinical NLP systems. This position supports research initiatives in the development and novel application of NLP and large language models to extract insights from unstructured clinical text using techniques such as named entity recognition (NER), negation detection, structured data extraction, diagnosis prediction, risk stratification, temporal reasoning and phenotyping. The successful candidate will play a critical role in designing, implementing, rigorously evaluating, deploying and maintaining robust and scalable NLP pipelines and models to extract meaningful information from unstructured clinical text in secure environments, with the goal of enabling high-impact solutions across a range of biomedical domains. Experience with large language models - such as fine-tuning, prompt engineering, model evaluation, and adapting foundation models for domain-specific clinical tasks - is desirable, particularly in contexts that demand privacy, robustness, and interpretability. The clinical NLP RSE will work closely with clinicians, informatics researchers, data scientists and other RSEs to ensure NLP systems meet application goals with methodological rigor and scientific reproducibility. DSAI engineers are at the forefront of modern data intensive science, where professionally developed software is rapidly becoming a key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHUs Coronavirus Resource Center the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the DSAI successful. Specific Duties & Responsibilities • The successful candidates will participate in ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. • The projects will require development of state-of-the art clinical NLP solutions using the latest deep learning libraries trained on state-of-the-art hardware in secure healthcare computing environments. • Projects will involve analysis of massive data sets either in the cloud or on premises. • Projects will require development of novel NLP software pipelines for processing of unstructured clinical notes. • Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. • They may require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, efficiency, reusability, robustness, portability, documentation, etc.). • It is a high-level goal of DSAI to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Special knowledge, skills, and abilities • Strong NLP, LLM, machine learning and deep learning skills. • Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment. • Expert-level knowledge of multiple modern NLP and LLM libraries and models. • Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications, with attention to data efficiency, interpretability, and reproducibility. • Demonstrated expertise in prompt engineering, evaluation, and benchmarking of large language models, includ

A technology solutions provider in Herndon, VA, seeks a Senior Data Engineer specializing in NLP to design and deploy scalable AI/ML models. The role requires strong expertise in Python, NLP techniques, and experience with platforms like Databricks and TensorFlow. Ideal candidates will have over 5 years of experience in related fields and a solid understanding of MLOps practices. This position offers the opportunity to innovate within a prime technology environment while ensuring mission readiness for Department of Defense applications. #J-18808-Ljbffr

Role Summary: The Natural Language Processing (NLP) Engineer is responsible for developing and implementing NLP solutions to support the company's projects. Main Responsibilities and duties: Develop and implement NLP solutions. Collaborate with the engineering team to integrate NLP solutions into projects. Conduct research on NLP technologies and trends. Stay updated on the latest NLP technologies and trends. Develop and implement quantum-enhanced NLP solutions. Collaborate with quantum engineers to integrate quantum technologies into NLP projects.

If you are a technology leader excited to transform global tax services with AI and platform innovation, join Deloitte's US Tax Transformation technology team. In this role, you will shape product vision and delivery for AI-enabled tax platforms that reimagine how we serve clients, operate our business, and create value. You will partner with business and technology leaders, translate outcomes into prioritized product features, and lead cross-functional and vendor teams to deliver high-quality capabilities on schedule. You will drive roadmap execution, track milestones and dependencies, manage risks and issues, and ensure transparent reporting to leadership that advances our technology transformation. Recruiting for this role ends on May 31, 2026. Work you'll do As a Deloitte Tax AI Delivery Product Manager on the Tax Transformation team, you will be responsible for: • Leading product delivery from problem definition through release planning, execution, and measurement across cross-functional and vendor teams • Translating stakeholder outcomes into prioritized backlogs, acceptance criteria, and release plans using Agile practices • Overseeing platform quality through hands-on testing, user experience reviews, and defect/issue management with timely escalation • Coordinating scope, sequencing, and sprint planning with Technical Product Owners and engineering to achieve delivery standards and dates • Identifying and mitigating delivery risks, dependencies, and blockers; reporting status, milestones, and budget/variance to leadership • Serve as the primary client-facing product delivery lead, facilitating executive readouts and working sessions to align stakeholders on roadmap priorities, manage expectations, resolve conflicts, and ensure delivery progress, risks, and decisions are transparently communicated The team Deloitte Tax LLP's Tax Transformation Office (TTO) designs, develops, and deploys innovative enterprise technology, tools, and standard processes that support the delivery of tax services. The team enhances Deloitte Tax LLP's ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic group with professionals from tax, technology development, change management, Six Sigma, and project management. The team consults on and executes a wide range of initiatives involving process and tool development and implementation, including training development, engagement management, tool design, and implementation. Qualifications Required: • Ability to perform responsibilities in a hybrid work model with in-person presence 2-3 days per week • Bachelor's degree in Computer Science, Engineering, Information Technology, Business Administration, or other relevant degree • 5+ years experience leading product delivery teams in a software or platform environment with demonstrated stakeholder management • Proven ability to lead complex, client-facing stakeholder management-aligning executives and delivery teams on outcomes, scope, priorities, and trade-offs, and driving timely decisions through clear, proactive communication • Experience applying artificial intelligence solutions, including large language models (LLMs), retrieval-augmented generation (RAG), and optical character recognition (OCR), to business use cases • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. • Limited immigration sponsorship may be available. • One of the following active accreditations obtained: • Licensed CPA in state of practice/primary office if eligible to sit for the CPA • If not CPA eligible: • Licensed Attorney • Enrolled Agent • AWS Certified Solutions Architect • CBAP® - Certified Business Analysis Professional • Certified SAFe® Advanced Scrum Master • Certified SAFe® Agilist • Certified SAFe® Lean Portfolio Manager • Certified SAFe® Product Owner / Product Manager • Certified SAFe® Scrum Master • Certified Scrum Developer (CSD) • Certified Scrum Product Owner (CSPO) • IASA's Certified IT Architect (CITA) (Level F or A) • Microsoft Azure • Professional Scrum Product Owner™(PSCPO) - SCRUM.org • Program Management Professional (PgMP) • Project Management Professional (PMP) • Six Sigma (Green or Black Belt) • UX or UX Master Certification Preferred: • Experience with Azure DevOps and delivery in a software development environment • 2+ years experience with Agile methodologies, backlog management, and risk management techniques • 1+ years experience coordinating cross-functional teams across time zones • Experience designing or reviewing user experience and conducting hands-on testing • Certified Azure AI Fundamentals or Azure Azure AI Engineer Associate The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The d

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on Instagram and X! Your New Role... We are looking for a Principal Product Manager to lead the development of user-facing AI experiences across CNN’s digital platforms. This is a senior, high-impact individual contributor role, responsible for shaping and executing the vision for how AI enhances how users engage with CNN content—whether through summarization, personalization, conversational interfaces, or intelligent discovery. This is not a “back-end AI” product role. It’s about reinventing the user experience through AI. You’ll play a key role in shaping CNN’s identity as an AI-era news platform, ensuring that our innovations serve both audience needs and editorial values. The ideal candidate will combine strong product strategy skills, deep technical fluency in AI technologies (especially LLMs and recommender systems), and sharp editorial instincts. You’ll collaborate closely with engineering, design, editorial, data science, and legal teams to deliver experiences that are useful, trusted, and distinctly CNN. Your Role Accountabilities... Develop and articulate a bold, user-centered product vision for how AI can enhance CNN’s digital experience, from content discovery to comprehension to personalization. • Own the roadmap for AI-driven features that directly touch the user—examples may include smart recaps, dynamic homepages, personalized video feeds, conversational news agents, and generative explainers. • Collaborate across functions, serving as a connective thread between editorial partners, design, engineering, AI research, growth, and legal teams. • Translate abstract technical possibilities into clear, actionable product requirements that balance innovation, risk, feasibility, and user value. • Establish clear success metrics and experimentation frameworks to evaluate the impact of AI-driven experiences on engagement, satisfaction, and trust. • Serve as a thought leader on responsible AI practices in journalism—helping to define what transparency, bias mitigation, and human-in-the-loop editorial oversight mean at CNN. Qualifications & Experience... • 15+ years in product management with a proven track record of launching innovative consumer-facing products. • 3+ years working with AI/ML technologies, including experience with large language models, recommendation systems, or generative interfaces. • Strong understanding of AI fundamentals and their application in product experiences; comfort partnering with technical leads and data scientists. • Demonstrated ability to lead through influence in a highly cross-functional environment. • Exceptional communication skills, especially in translating technical complexity into stakeholder-aligned narratives. • Deep empathy for news consumers and a sharp editorial sense; passion for making news more accessible, relevant, and impactful. • Experience working in a mission-driven or regulated environment (media, health, education, etc.) is a strong plus. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected v

Product Owner, Data & AI Data StrategyUS Exempt RegularFull timeStateside Exempt 4.2 Product Owner, Data & AI Data Strategy Full-time, Exempt Regular, Pay Grade 4.2 Location: Hybrid (Onsite presence required in Adelphi, MD at minimum 3 days a week) POSITION SUMMARY: The Product Owner is a member of our Enterprise Data & AI team. Product Owners work daily with teams of business stakeholders, application developers, QA testers, and Scrum Masters to deliver business value through innovative software solutions. The Product Owner is the primary product specialist for the development scrum team, manages the team's backlog, participates actively in all phases of development, and is a key stakeholder in product related decisions and release planning. Responsibilities Product Vision & Strategy • Define and maintain the product backlog for the Data & AI platform, ensuring alignment with the university's long-term strategic plan and near-term priorities. • Translate institutional goals (student success, research advancement, operational efficiency) into actionable product objectives. Stakeholder Engagement • Collaborate with faculty, researchers, administrators, and IT leaders to gather requirements and identify high-value data and AI use cases. • Serve as the primary liaison between business stakeholders and the technical development team. Backlog & Prioritization • Create, refine, and prioritize the product backlog based on business value, compliance requirements, and technical feasibility. • Define acceptance criteria and ensure clarity for data, AI, and integration-related user stories. Delivery & Execution • Collaborate with data engineers, AI/ML specialists, developers, and architects to deliver platform features and enhancements. • Support Agile ceremonies (sprint planning, standups, reviews, retrospectives) and ensure the team has a clear understanding of the overall vision and business value of priorities. Governance & Data Stewardship • Partner with institutional data governance groups to enforce data security, compliance, and stewardship and quality standards and processes. • Ensure AI applications comply with ethical and responsible AI guidelines in higher education. Analytics & AI Enablement • Guide the development of AI/BI apps, BI apps, self-service analytics, and AI-powered insights for faculty, staff, and leadership. • Identify opportunities to embed AI/ML models (e.g., student retention predictions, enrollment forecasting, research analytics). Change Management & Adoption • Communicate platform benefits, features, and updates to stakeholders. • Drive adoption through demonstrations, training, and user enablement activities. • Help guide value creation, realization, and measurement through Data & AI products Continuous Improvement • Monitor product performance, collect feedback, and adjust priorities based on evolving institutional needs. • Stay current on data & AI/ML trends and recommend platform innovations. Qualifications Education & Experience • Bachelor's degree in Information Science, Information Systems, Computer Science, Data Science, Business Administration, or related field (Master's preferred). • 5+ years of experience in product ownership, business analysis, or project management, ideally in data, analytics, or AI-focused environments. • Experience in higher education, research, or public sector environments strongly preferred. • Proven track record of helping deliver enterprise grade data & AI platforms and products within SAFe Agile environments. Technical Knowledge • Strong understanding of data & AI platforms, data lakes/warehouses, ETL pipelines, APIs, and cloud environments (e.g., Databricks, AWS, Azure, GCP, Salesforce Data Cloud). • Working knowledge of Data Governance (e.g. Purview) and Master Data Management (e.g. Profisee) tools. • Familiarity with AI/ML concepts, predictive analytics, and responsible AI frameworks. • Working knowledge of BI/analytics tools (e.g., Tableau, Power BI, Salesforce CRM Analytics, Looker). • Experience with data governance, privacy, and compliance (FERPA, HIPAA, GDPR, etc.). Skills & Competencies • Strong product management skills: backlog prioritization, user story creation, acceptance criteria. • Excellent stakeholder engagement and communication skills—able to translate technical concepts into business value. • Strategic thinker with ability to align platform initiatives to institutional goals (student success, research excellence, operational efficiency). • Skilled in Agile/Scrum methodologies, Jira/Azure DevOps or similar tools. • Strong problem-solving, analytical, and decision-making skills. • Ability to drive adoption and change management in diverse academic and administrative communities. Preferred Certifications • Certified Scrum Product Owner (CSPO) or SAFe Product Owner/Product Manager. • Data or cloud certifications (e.g., Databricks, Azure Data Fundamentals, Azure Purview, Azure ADO, Profisee). • AI/ML or analytics

A leading insurance company is seeking a Senior Product Manager to join their Data Compass team in Washington, DC. The role involves leading the Data Marketplace, developing product vision, and collaborating with cross-functional teams. The ideal candidate will have over 5 years of experience in product management, strong analytical skills, and the ability to communicate complex ideas effectively. This position is hybrid, requiring 2-3 days in the office weekly. J-18808-Ljbffr

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Platform team builds the secure foundation that enables responsible, high-quality AI across Robinhood. Our mission is to provide the infrastructure, governance controls, and reusable services that allow teams to develop AI-powered products while meeting strict security, privacy, and regulatory requirements. We partner closely with Security, Privacy, Risk, Compliance, Engineering, and Data Science to ensure AI systems are resilient, explainable, and production-ready. Our work is central to protecting customer data and maintaining trust as we expand AI capabilities across the company! As a Senior Security AI Product Manager, you will define and execute the strategy for secure AI development at scale. You will shape the roadmap for capabilities such as model governance, secure model deployment, adversarial testing, AI risk controls, and monitoring frameworks. You will work with internal product teams to help them adopt AI safely, accelerate experimentation within guardrails, and operationalize controls for fraud detection, abuse prevention, identity protection, and sensitive data handling. Your work will directly influence how AI is built, reviewed, launched, and continuously monitored across Robinhood. This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do • Set the strategy and roadmap for secure AI platform capabilities, including model governance, access controls, secure data pipelines, and production monitoring. • Define requirements for AI security standards such as model risk assessments, red-teaming, adversarial testing, explainability reviews, and audit logging. • Partner with Security, Privacy, Risk, and Compliance to translate regulatory expectations into clear product requirements and reusable platform controls. • Establish measurable health metrics for AI systems, including model performance, drift detection, abuse signals, and incident response readiness. • Guide internal teams through secure AI adoption by providing structured intake processes, risk reviews, and launch readiness criteria. What you bring: • Experience: • Minimum 4 years in building and launching high-quality consumer products. • Proven experience in defining and developing AI-powered products. • Bonus points for experience in fintech and/or consumer AI products. • Technical Knowledge: • Familiarity with experimentation platforms and A/B testing for ML systems. • Understanding of fine-tuning, evaluations, and ML optimization techniques. • Exposure to LLMs, recommender systems, NLP, or reinforcement learning. • Experience with products leveraging Agentic AI is a plus. • Skills: • Strong leadership, communication, and relationship management abilities. • Adept at translating complex technical details into easily understandable language for a wider audience. • Decision Making: • Experience utilizing research, experimentation, and product analytics to drive informed decisions. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $166,000 - $195,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $146,000 - $172,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $129,000 - $152,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future

A company is looking for an Associate Product Manager, AI & Automation. Key Responsibilities Build automation tools using AI-assisted development, leading the entire lifecycle from problem identification to production Collaborate with business teams to understand workflows and translate insights into effective automation solutions Document and maintain tools, including test plans and dependency tracking, ensuring sustainability of the work Required Qualifications At least 3 years in an analytically rigorous role Excitement about AI applications and eagerness to learn about coding and system design Analytical and process-oriented mindset with the ability to navigate ambiguity Strong communication skills to engage with both technical and non-technical audiences Self-directed with the ability to manage time effectively in a remote work environment

About the Role We are seeking an exceptional, AI-native Senior+ Product Manager to build and lead the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries. This role owns the systems that define pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions. You will design and scale model-driven infrastructure that continuously interprets transactional data, generates reference pricing, detects performance shifts, reconciles financial flows, and governs revenue integrity in real time. This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles, and ensure intelligence systems are measurable, adaptive, and trusted. The work you do will directly shape partner economics, supplier transparency, and HTS's global commerce platform. What would your day-to-day look like: • Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection. • Build the supplier intelligence layer, transforming transactional data into automated performance signals, demand insights, and pricing diagnostics. • Establish and govern the canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems and partners. Design model evaluation, monitoring, and feedback frameworks, including drift detection and continuous improvement mechanisms. • Implement automated reconciliation and anomaly detection systems to proactively surface financial inconsistencies at scale. • Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure. An ideal candidate has: • 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production. You have built and scaled systems where AI is foundational to product behavior - not an additive feature. • Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models as part of their PM workflow (not just overseeing others doing it) • Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies. • Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale. • Strong fluency with SQL and large-scale transactional datasets. • Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks. • Deep understanding of marketplace economics, revenue mechanics, and pricing strategy. • Track record of delivering complex, cross-functional systems with measurable business impact. • Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders. Bonus: • Prior experience in Data Science, Engineering, or a highly technical role. • Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments. Perks and benefits of working with us: • Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages. • Unlimited PTO. • Carrot Cash travel stipend. • Access to co-working space on demand through FlexDesk AND Work-from-home stipend. • Please ask us about our very generous parental leave, much above industry standards!. • Entrepreneurial culture where pushing limits and taking risks is everyday business. • Open communication with management and company leadership. • Small, dynamic teams = massive impact. • 100% employer paid Medical, Dental and Vision coverage for employees. • Access to Disability & Life insurance. • Health Reimbursement Account (HRA). • DCA/ FSA and access to 401k plan. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions - helping people travel

About the position We are looking for a Principal Product Manager to lead the development of user-facing AI experiences across CNN’s digital platforms. This is a senior, high-impact individual contributor role, responsible for shaping and executing the vision for how AI enhances how users engage with CNN content—whether through summarization, personalization, conversational interfaces, or intelligent discovery. This is not a “back-end AI” product role. It’s about reinventing the user experience through AI. You’ll play a key role in shaping CNN’s identity as an AI-era news platform, ensuring that our innovations serve both audience needs and editorial values. The ideal candidate will combine strong product strategy skills, deep technical fluency in AI technologies (especially LLMs and recommender systems), and sharp editorial instincts. You’ll collaborate closely with engineering, design, editorial, data science, and legal teams to deliver experiences that are useful, trusted, and distinctly CNN. Responsibilities • Develop and articulate a bold, user-centered product vision for how AI can enhance CNN’s digital experience, from content discovery to comprehension to personalization. • Own the roadmap for AI-driven features that directly touch the user—examples may include smart recaps, dynamic homepages, personalized video feeds, conversational news agents, and generative explainers. • Collaborate across functions, serving as a connective thread between editorial partners, design, engineering, AI research, growth, and legal teams. • Translate abstract technical possibilities into clear, actionable product requirements that balance innovation, risk, feasibility, and user value. • Establish clear success metrics and experimentation frameworks to evaluate the impact of AI-driven experiences on engagement, satisfaction, and trust. • Serve as a thought leader on responsible AI practices in journalism—helping to define what transparency, bias mitigation, and human-in-the-loop editorial oversight mean at CNN. Requirements • 15+ years in product management with a proven track record of launching innovative consumer-facing products. • 3+ years working with AI/ML technologies, including experience with large language models, recommendation systems, or generative interfaces. • Strong understanding of AI fundamentals and their application in product experiences; comfort partnering with technical leads and data scientists. • Demonstrated ability to lead through influence in a highly cross-functional environment. • Exceptional communication skills, especially in translating technical complexity into stakeholder-aligned narratives. • Deep empathy for news consumers and a sharp editorial sense; passion for making news more accessible, relevant, and impactful. Nice-to-haves • Experience working in a mission-driven or regulated environment (media, health, education, etc.) is a strong plus. Benefits • health insurance coverage • an employee wellness program • life and disability insurance • a retirement savings plan • paid holidays and sick time and vacation

Company Overview K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions. Project Team Roles The following position comprises a multidisciplinary delivery team responsible for planning, building, integrating, deploying, and operating an AI-enabled chatbot capability using an iterative, sprint-based approach with security and risk management embedded throughout. AI Product Manager & Project Manager Role KL Scott and Associates is seeking an AI Product Manager & Project Manager. This role provides executive-level product and delivery leadership for the AI chatbot program. This role owns product strategy, delivery execution, and stakeholder outcomes while managing a multidisciplinary team and coordinating across security, data, engineering, and client leadership. Ensures iterative delivery of usable capability with clear performance metrics, stakeholder alignment, and production readiness from pilot through scaled operations. The ideal candidate will reside in or within commutable distance to Washington DC. Responsibilities:  • Own end-to-end product vision, outcomes, and roadmap aligned to stakeholder priorities and measurable adoption goals. • Lead agile delivery cadence (sprint planning, backlog grooming, release planning) and remove delivery blockers. • Establish and maintain governance artifacts (decision logs, product intake, prioritization criteria, and change control). • Coordinate status reporting, milestone tracking, and stakeholder communications; ensure transparency of risks and mitigations. • Define and monitor product performance metrics (adoption, satisfaction, latency, containment, response quality, and mission impact). • Partner with security and technical leadership to embed risk mitigation into product requirements, acceptance criteria, and release readiness. • Drive transition from pilot to production, including training approach, adoption plan, and continuous improvement cycles. • Support the development of a target architecture for the chatbot, including secure data flows, knowledge sources, indexing strategy, and model interaction patterns. • Support the definition of data models, metadata standards, and governance practices that support traceability, auditability, and secure handling of sensitive content. • Establish evaluation methods (baseline tests, quality metrics, gold datasets, and monitoring thresholds) to measure and improve chatbot performance. • Collaborate with engineering and integration teams to ensure environment, access controls, and telemetry support AI workflows and operational analytics. • Architect reusable patterns for modular expansion, enabling additional domains or functions to be onboarded efficiently over time. • Experience operating in security-conscious environments with disciplined documentation, change control, and stakeholder reporting. • Support the harvesting and refinement of solutions for internal KLSA product portfolio. • Ability to operate with minimal management oversight and maintain compliance in alignment to project requirements. • Ability to engage with, collaborate, and present to executive stakeholders (CFO), technical leaders (CDO), and mission leaders (Division Directors). • Maintain professional execution of project delivery while engaging with executive presence as all times. Qualifications:  • Required: Bachelor's degree (Computer Science, Information Systems, Engineering, Data Science, Business, Public Policy, or related field) • Preferred: Master's degree (MBA, MS in Information Systems/Data Science, or similar) • Preferred certifications: PMP, PMI-ACP, CSM/PSM, SAFe POPM, ITIL Foundation, or equivalent product management certification. • 15+ years of experience in product, program management for technology solutions (public-sector preferred), or delivery leadership for technology initiatives • Demonstrated experience managing teams and large, complex projects • Prior delivery of AI, analytics, or data-driven products in secure or regulated environments (chatbots, search, knowledge assistants, or decision-support tools) • Ability to obtain and maintain Top Secret clearance eligibility (or comparable clearance) as required by the engagement. • Experience with project delivery in Federal Agencies which utilize secure networks, systems, and products. • Preferred experience with financial management, programmatic spend analysis, executive story telling through data & analytics. Benefits: • Competitive salary • Health, dental, and vision insurance • 401K • "Discretionary" PTO • Professional development opportunitie

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission. Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI , weve recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data its trained on. Thats why we work with contributors from all over the world , who help improve AI models by providing expert human feedback . This data has led to AI advancements for the world's leading AI labs and large language model builders. Weve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility. What you will be doing We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems. * Adopt a user mindset to produce natural data to meet the realistic needs you have or would use AI for. * Use the tool of rubrics to address user needs in a structured way. * Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models. * Contribute across projects depending on your specific skillset and experience. What were looking for * Education : Bachelors degree or higher (or currently enrolled). * Analytical and Problem-Solving Skills : Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning. * Strong Writing : Clear, concise, and engaging writing to explain decisions or critique responses. * Attention to Detail : Commitment to accuracy and ability to assess technical aspects of model outputs. Nice to Haves: * Experience in fields like literature, creative writing, history, philosophy, theology, etc. * Prior writing or editorial experience (content strategist, technical writer, editor, etc.). * Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM Free access to Model Playground Interact, experiment and engage with leading large language models free of cost Flexible schedule and time commitment No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home Join a global community of Coding experts Join a global network of experts contributing to advanced AI tools Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

Our client, a cutting-edge technology firm at the forefront of artificial intelligence, is looking for a brilliant Senior AI Research Scientist specializing in Natural Language Processing (NLP) to join their team in Washington, D.C., US . This role demands a passion for pushing the boundaries of AI, with a focus on developing sophisticated NLP models and algorithms. You will be part of a collaborative research environment, contributing to groundbreaking projects that have real-world impact. Responsibilities: Conduct advanced research in Natural Language Processing, including but not limited to: sentiment analysis, topic modeling, machine translation, text generation, and question answering. Design, develop, and implement novel NLP algorithms and machine learning models. Collaborate with engineering teams to integrate research prototypes into production systems. Stay current with the latest advancements in AI, machine learning, and NLP through academic publications and industry conferences. Publish research findings in top-tier academic journals and present at international conferences. Develop and mentor junior researchers and engineers in NLP and machine learning techniques. Design and execute experiments to evaluate the performance and effectiveness of NLP models. Contribute to the intellectual property portfolio through patent applications. Analyze large datasets to extract insights and inform model development. Foster a culture of scientific rigor and innovation within the research group. Qualifications: Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field. Minimum of 5 years of hands-on research experience in NLP and machine learning. Strong publication record in top-tier NLP/ML conferences (e.g., ACL, EMNLP, NeurIPS, ICML). Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Expertise in various NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers). Experience with large language models (LLMs) and their applications. Solid understanding of statistical methods and experimental design. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a collaborative research environment. Proven ability to translate research ideas into practical applications. This hybrid position offers a unique opportunity to engage in impactful research while benefiting from a structured work environment in Washington, D.C., US . Our client values diversity and is an equal opportunity employer.

Our client, a cutting-edge research and development firm focused on pioneering advancements in AI and emerging technologies, is seeking an innovative AI Research Scientist to join their distinguished team in **Washington, D.C.** This hybrid role offers the opportunity to contribute to groundbreaking projects while enjoying a flexible work arrangement. You will be at the forefront of developing novel AI algorithms and models, exploring new paradigms in machine learning, deep learning, and related fields. Responsibilities include conducting theoretical and applied research, designing and implementing experiments, analyzing complex datasets, and publishing findings in top-tier conferences and journals. The ideal candidate possesses a strong academic background, exceptional problem-solving skills, and a passion for pushing the boundaries of artificial intelligence. You will collaborate with a multidisciplinary team of scientists and engineers to translate research into practical applications. Key Responsibilities: Conduct cutting-edge research in artificial intelligence, machine learning, deep learning, and related fields. Develop and implement novel algorithms, models, and techniques to address complex problems. Design and execute research experiments, analyze large datasets, and interpret results. Collaborate with cross-functional teams to apply AI research to real-world challenges. Stay abreast of the latest advancements in AI and emerging technologies through literature review and conference participation. Publish research findings in leading academic journals and present at international conferences. Develop prototypes and proof-of-concepts to demonstrate the feasibility of new AI approaches. Contribute to grant proposals and secure research funding. Mentor junior researchers and contribute to a vibrant research community. Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Strong publication record in top AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR). Expertise in one or more areas of AI/ML, such as deep learning, reinforcement learning, natural language processing, or computer vision. Proficiency in programming languages commonly used in AI research (e.g., Python) and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with large-scale data analysis and distributed computing. Excellent analytical, critical thinking, and problem-solving skills. Strong communication and presentation skills, with the ability to articulate complex technical concepts. Proven ability to work independently and collaboratively in a research-intensive environment. This is an unparalleled opportunity to shape the future of AI within a world-class research institution.

A pioneering technology firm at the forefront of AI and Emerging Technologies is seeking a highly motivated and innovative AI Research Scientist specializing in Machine Learning. This position offers an unparalleled opportunity to contribute to cutting-edge research and development, pushing the boundaries of artificial intelligence. You will work on challenging problems, developing novel algorithms and models, and translating research into practical applications that shape the future of technology. Key responsibilities include: Conducting advanced research in machine learning, deep learning, and related AI fields. Developing, implementing, and evaluating novel algorithms and models for various AI applications. Collaborating with cross-functional teams of engineers and researchers to integrate AI solutions into products and services. Publishing research findings in top-tier conferences and journals. Staying abreast of the latest advancements in AI and machine learning research globally. Designing and executing experiments to test hypotheses and validate model performance. Contributing to the intellectual property of the company through patents and proprietary algorithms. Mentoring junior researchers and interns. Exploring new research avenues and proposing innovative projects. Presenting research results and technical concepts to both technical and non-technical audiences. Optimizing machine learning models for performance, scalability, and efficiency. A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field is required. Proven track record of research excellence, demonstrated through publications, patents, or significant open-source contributions, is essential. Deep expertise in at least one major ML framework (e.g., TensorFlow, PyTorch) and strong programming skills (e.g., Python) are mandatory. Excellent analytical, problem-solving, and critical thinking abilities are crucial. This role is fully remote, allowing talented individuals to contribute from anywhere in the US, with the team's primary focus area and innovation hub conceptually linked to **Washington, D.C., US**.

Imagine building the next generation of AI-powered experiences at Apple. We are advancing the state of the art in foundation models, applying them across language, vision, and multimodal understanding to power features used by millions of people worldwide. As part of the Multimodal Intelligence Team (MINT), with a track record of delivering innovations from the Apple Foundation Model to real-world applications like Visual Intelligence, you will tackle the practical challenges of scaling, optimizing, for building large models as well as integrating such models and agents into Apple products. You'll collaborate with world-class engineers and scientists to push the boundaries of foundation models and agentic system while delivering real-world impact. Description You will work on advancing the capabilities of foundation models and steering them toward real-world applications in Apple products. This includes researching and developing methods to improve alignment, reasoning, and adaptation of large models to practical use cases, while ensuring they meet Apple's standards for efficiency, scalability, and privacy. A key part of your role will be to stay current with emerging research and identify techniques suitable for real-world deployment, bridging the gap between state-of-the-art advancements and production-ready solutions. You will design and optimize large-scale data pipelines to enable robust training and fine-grained evaluation of foundation models, working with massive multimodal datasets to push the limits of performance. You will explore new ways to enhance reasoning and multimodal understanding, adapting models for Apple's unique ecosystem, from cloud-scale infrastructure to on-device intelligence. Collaboration will be central to your work-you will partner with cross-functional teams of engineers and researchers bring these models to life, ensuring seamless integration into Apple products and creating intelligent natural user experiences. Minimum Qualifications • BS and a minimum of 3 years relevant industry experience. • Proficient programming skills in Python and experience with at least one modern deep learning framework (PyTorch, JAX, or TensorFlow). • Experience working with large-scale training pipelines and distributed systems. Preferred Qualifications • PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field. • Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc), or a strong track record of applying deep learning techniques to real-world products. • Experience with foundation models (language, vision-language, or multimodal). • Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage. • Experience fine-tuning or optimizing large models for production deployment. • Knowledge of retrieval-augmented generation (RAG), personalization, or grounding techniques. • Familiarity with privacy-preserving or on-device machine learning. • Ability to work effectively in a cross-functional, collaborative environment. Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

A leading tech company in Virginia is seeking a passionate AI Research Scientist to help shape the future of AI-powered products. You will work with large-scale data and modern frameworks to develop cutting-edge foundation models. Responsibilities include collaborating with cross-functional teams and leading research to produce impactful AI solutions. The ideal candidate will hold a relevant degree, have experience in applied research, and possess strong skills in ML tools and large-scale model deployment.

A data analytics firm is seeking experienced quantitative professionals to evaluate AI-generated work and contribute to advancing AI models. This fully remote role offers flexibility in projects and scheduling, with competitive pay starting at $40+ per hour. Candidates should have over 2 years of quantitative experience and experience with statistical methods. If you're passionate about data and its applications in AI, apply to join this innovative team. #J-18808-Ljbffr

We are looking for an Energy Technology Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics. Benefits This is a full-time or part-time REMOTE position You’ll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities Give AI chatbots complex physics problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications Fluency in English (native or bilingual level) Detail-oriented Strong grasp of classical mechanics, E&M, thermodynamics, and basic quantum concepts A current, in progress, or completed Master's and/or PhD is preferred but not required Notes Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position. #physics #J-18808-Ljbffr

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day. The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community. We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). Unlike traditional "black-box" models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule-driven patterns to ensure accuracy, auditability, and compliance in complex decision-making workflows. Duties and Responsibilities: • Agentic System Architecture: Design and deploy autonomous AI agents capable of multi-step reasoning, tool-use, and self-correction to navigate complex federal benefit policies. • Deterministic Logic Integration: Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks. • RAG & Knowledge Engineering: Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and unstructured data. • Hybrid Model Development: Design and evaluate machine learning models that support both data-driven predictions and symbolic/rule-based automation. • MLOps & Agent Monitoring: Deploy models into cloud environments with a focus on LLM-specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data drift in logic). • Auditability & Explainability: Ensure every AI-driven determination has a clear, human-readable "audit trail" or reasoning chain that justifies the outcome based on source documentation. • Collaboration: Work alongside solution architects and business stakeholders to translate complex health insurance policies into executable AI logic. Skills & Work Experience: • Professional Experience: 5+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and Generative AI frameworks. • Agentic Frameworks: Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows. • Core Development: Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn) • Data Engineering: Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale enterprise data. • Analytical Rigor: Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms. Preferred: • Experience with Azure Machine Learning, Azure AI services, or similar cloud AI platforms. • Experience implementing Generative AI, LLM, or RAG-based solutions. • Experience supporting federal IT modernization or data transformation programs. • Familiarity with healthcare, insurance, or benefits administration data environments. • Experience applying data governance, privacy, and security best practices in AI/ML solutions. Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline. Master's degree preferred. Equivalent professional experience will be considered in lieu of a degree. Clearance: Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance. If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including: • Paid vacation & Sick leave • Health insurance coverage • Career training • Performance bonus programs • 401K contribution & Employer Match • 11 Federal Holidays

Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team 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 focus on machine learning architectural design, develop and review model and application code, and ensure 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. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. • Retrain, maintain, and monitor models in production. • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. • Construct optimized data pipelines to feed ML models. • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. • Use programming languages like Python, Scala, or Java. Basic Qualifications: • Bachelor’s Degree • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 4 years of experience programming with Python, Scala, or Java • At least 3 years of experience building, scaling, and optimizing ML systems • At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow • 3+ years of experience developing performant, resilient, and maintainable code • 3+ years of experience with data gathering and preparation for ML models • 3+ years of people management experience • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents • 3+ years of experience building production-ready data pipelines that feed ML models • Ability to communicate complex technical concepts clearly to a variety of audiences 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead 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 benefits that support your total well-being. Learn more at the Capital One Careers web

A leading organization is seeking a Machine Learning Engineer to design and productionize advanced analytics solutions. This role emphasizes developing scalable pipelines and optimizing model performance on data platforms like Databricks and PySpark. Candidates must have 7+ years of machine learning engineering experience, strong programming skills in Python or SQL, and a bachelor's degree in a quantitative field. The position offers relocation assistance within the US and does not provide sponsorship.

Applied Everywhere? Still No Interviews or Offers? Let's Fix the Missing Link." If you've sent out hundreds-maybe thousands-of applications and your inbox is still silent, it doesn't mean you're not capable. It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT's JOPP is built to solve-because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands-think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more-often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT's JOPP is simple: close the gap between what you know and what employers expect you to prove. That gap is where most bootcamps leave you stranded. Here's the truth most bootcamps won't say out loud: training alone doesn't win offers. Many programs teach "just enough to build a demo," but employers hire based on whether you can handle real work-clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT positions JOPP as a Job Placement Program, not just a bootcamp. The program emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: • You have skills, but your resume doesn't show impact and your projects look generic • You know tools, but you can't explain them confidently in interviews • You've learned from courses, but you lack real-world structure and job alignment • You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you're reading this and thinking, "I've already done a bootcamp," you're not alone. SynergisticIT often sees candidates join after trying other bootcamps, Udemy/Coursera tracks, or university bootcamps-then realizing the missing piece was job-placement execution. Many programs focus on teaching; SynergisticIT focuses on getting you hired. If you want to explore the program directly, here are the key links: • Job Placement Program (JOPP): • Java Job Placement Program • Data Science / Data Jobs Program • Event videos (OCW, JavaOne, Gartner): • USA Today feature • Contact Us (Fill the Form): https://www.synergisticit.com/contact-us/ You don't need more random applications. You need a job-ready plan. Start smarter-start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT

Overview: UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups. Technical Challenge: As a Machine Learning Engineer at UP.Labs, You will design, develop, and deploy advanced machine learning and generative AI solutions that drive innovation across our venture portfolio. Your work will span the full ML lifecycle—from data pipeline architecture and model development to production deployment and optimization on cloud platforms. This is a hands-on role requiring strong technical expertise, creativity, and a passion for innovation in the transportation industry. In this role you will: • Lead the development and deployment of computer vision solutions (image classification, object detection, segmentation, OCR) alongside scalable machine learning systems including predictive models, recommendation systems, and advanced analytics pipelines. • Design and build scalable backend systems and APIs that serve ML models and integrate with data infrastructure. • Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities for machine learning applications. • Implement end-to-end ML workflows, including data preparation, model training, evaluation, and deployment. • Develop and maintain production-grade ML systems, ensuring reliability and accuracy over time. • Conduct thorough model testing, validation, and monitoring to ensure accuracy and stability. • Stay current with the latest advancements in machine learning, artificial intelligence, and cloud technologies. Required Skills: • Strong experience in computer vision, including image classification, object detection, segmentation, OCR, and deploying vision-based models into production environments. • Strong proficiency in machine learning systems, with extensive experience in scalable model deployment, feature engineering, and ML operations. • Solid backend development skills with the ability to build robust, scalable systems that support ML workloads. • Advanced Python programming skills for machine learning, data processing, and backend development. • Deep expertise in Generative AI technologies, including LLMs, prompt engineering, and AI application development. • Strong experience with PostgreSQL for data storage, querying, and database optimization. • Proficiency with Databricks for big data processing, collaborative ML development, and pipeline orchestration. Preferred Expertise: • Working knowledge of Google Cloud Platform (GCP) for deploying and managing ML infrastructure. • Familiarity with Amazon Web Services (AWS) for cloud-based ML solutions. • Experience with Microsoft Azure for enterprise-scale ML deployments. UP.Labs Summary: We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies. We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. Location: Remote

A leading tech solutions company is seeking a Senior AI/ML Engineer to architect and optimize intelligent automation solutions. This role requires a minimum of 5 years in AI/ML development and a strong background in AWS services, particularly generative AI. Responsibilities include designing AI solutions and collaborating with functional teams. The ideal candidate will possess effective communication skills, adapt to agile methodologies, and thrive in remote work environments. Excellent benefits are provided, including medical, dental, and 401K matching.

Job Summary We are seeking a Senior-level AI/ML Engineer to design, develop, and deploy advanced artificial intelligence and machine learning solutions in support of mission-critical government programs. This role requires deep expertise in architecting scalable, high-performing AI systems on cloud platforms, integrating AI/ML models with enterprise systems, and leveraging big data processing to drive intelligent outcomes. The ideal candidate brings hands-on experience with cloud-based AI platforms, advanced machine learning techniques, and Responsible AI practices, and thrives in a collaborative, fast-paced technical environment. Responsibilities • Design, develop, and deploy scalable AI/ML solutions on cloud platforms. • Architect high-performing AI systems for predictive analytics, natural language processing, and computer vision applications. • Implement and manage AI/ML pipelines and tooling in cloud environments. • Integrate AI/ML models with existing enterprise and cloud-based systems to ensure seamless operations. • Apply advanced machine learning techniques and big data processing to enhance model performance. • Adhere to Responsible AI (RAI) policies and develop metrics to evaluate AI solution effectiveness. • Collaborate with cross-functional teams to identify opportunities for AI/ML adoption and integration. • Stay current with emerging AI/ML technologies, tools, and industry best practices. Qualifications Required • Active TS/SCI clearance. • Bachelors or Masters degree in Computer Science, Information Technology, Management Information Systems, or a related STEM field. • 6–10 years of experience in AI/ML development and deployment. • Proven experience in designing and implementing AI/ML solutions and cloud-based pipeline tools. • Advanced expertise in architecting scalable, high-performing AI systems for NLP, computer vision, and predictive analytics. • Extensive experience with cloud AI platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI. • Strong background in big data processing and advanced ML techniques. • Demonstrated ability to integrate AI/ML models with enterprise systems and cloud environments. • Deep proficiency in machine learning programming languages such as Python or R. • In-depth knowledge of AI cloud tools and capabilities. • Understanding of Responsible AI (RAI) principles, metrics, and evaluation methodologies. • Relevant certifications such as: • Azure Solutions Architect • AI Engineer Associate (or equivalent) • AWS Certified Machine Learning • Security+ Desired • Experience with containerization and orchestration technologies (Docker, Kubernetes). • Knowledge of DevOps practices and CI/CD pipelines. • Familiarity with data visualization tools and techniques. • Strong problem-solving skills and ability to perform effectively in a fast-paced environment.

Que Technology Group, Inc., is looking for a motivated Senior AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques to support the exciting new AI and Emerging Technologies (AI&ET) mission. The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities. Responsibilities include, but are not limited to: • Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines. • Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption. • Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management. • Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems. • Support security assessments and authority to operate (ATO) processes Required Qualifications: • Bachelor's degree plus 8-years of relevant experience or equivalent. • Proficiency in Python, LLM integration, and data engineering. • Experience with static analyzers, RAG framework, and relational and vector databases. • Familiarization with Agile, Git, Jira, and Confluence. Preferred Qualifications: • Familiarization with RUST, Claude Code, Codex, and CI/CD. Security Clearance: • Active TS/SCI with Polygraph required. BENEFITS: • Competitive salary • Company Medical/Dental/Vision plans – Company paid • Short-term Disability, Long-term disability and Life Insurance – Company paid • Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses • Vacation / Personal days granted at 25 days per year • Paid Federal Holidays – 11 days • $5,000 Annual Professional Development Fund plus 40 paid hours if in class • 401K with 6% company match; all contributions are immediately vested by Employee • Employee will be paid a bonus of $10,000 per employee hired based on their referral • Up to 3 paid Code Red days due to customer closure Que Technology Group, Inc., is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Strategic Innovation Group (SIG) is seeking a highly skilled AI Solutions Engineer to join our growing technology and innovation team. This is a full-time, remote-friendly role focused on building, integrating, and operationalizing advanced AI capabilities across enterprise cloud environments. $160,000 to $200,000+ The purpose of this engagement is to provide specialized AI empowerment engineering services, leveraging expertise across both AWS and Azure AI technical stacks. Specifically, this work supports data ecosystem readiness in areas such as data preparation, matching, and governance for enterprise AI projects. The AI Solutions Engineer will focus on enabling, developing, and innovating within enterprise AI environments, supporting both the architecture and implementation of advanced AI solutions. They will build and deploy AI applications leveraging large language models (LLMs), agent frameworks, and cloud-native services. The ideal candidate has 10+ years of engineering or software development experience, including 2-3+ years working directly with large language models (LLMs), vector databases, and cloud-native AI platforms. You will be at the forefront of developing scalable, secure, and high-impact AI systems that enable continuous innovation for government and commercial clients. SIG is a fast growing 8(a) government contractor based in Arlington, Virginia. We offer a broad range of technical expertise and experience in Digital Transformation, Data Management/Data Science, and Systems Modernization. At SIG, our people are our mission. Come join our team! A successful candidate will be offered the following: • Great work/life balance • Eligibility for performance-based participation in cash bonuses • Potential to participate in growth of the company through incentives • Excellent benefits, including health, dental, vision, generous PTO, a 401(k) with match, life insurance, short- and long-term disability, and a health savings account (HSA) Additionally, this position is expected to be generally remote, with occasional visits to the office and client facilities in the Washington, DC metropolitan area as needed. ESSENTIAL DUTIES AND RESPONSIBILITIES The essential functions include, but are not limited to the following: • AI engineers will serve as both developers and solution architects • Engage in hands-on coding, model integration, and system deployment • Collaborate with cross-functional teams for data preparation and delivery • Continuously monitor, assess, and refine AI solutions based on business feedback • Achievement of client-defined performance, reliability, and scalability objectives • Documented enablement and knowledge transfer to ensure sustainability of AI initiatives • Design and implement agent-based task flows, including prompt chaining, API interaction, and vector database integration. • Build and deploy AI applications leveraging Claude 3.5+, HuggingFace models, and other foundation models. • Develop and maintain scalable and secure AI environments in AWS and Azure. • Prepare and align enterprise data to support robust AI data ecosystems. • Integrate and operationalize services such as AWS Bedrock, SageMaker, Lambda, and OpenSearch; Azure OpenAI Service, AI Studio, Bot Services, AI Search, and Data Factory. REQUIRED EXPERIENCE/QUALIFICATIONS • Bachelor's degree in Computer Science, Engineering, or a related technical field. • 10+ years of total experience in software engineering or system development. • 1+ years of hands-on experience working with large language models (LLMs) and AI/ML systems. • Proficiency in Python and experience with API integration, prompt engineering, and vector database interaction. • Demonstrated experience building and deploying AI solutions using AWS and/or Azure AI services. PREFERRED EXPERIENCE/QUALIFICATIONS • 3+ years of hands-on experience working with large language models (LLMs) and AI/ML systems. • Experience with foundation models such as Claude (v3.5+) and HuggingFace offerings. • Familiarity with distributed data processing (e.g., Apache Spark). • Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes). • Exposure to Robotic Process Automation (RPA) tools and enterprise automation use cases. • Prior experience in federal contracting or highly regulated enterprise environments. • Knowledge of cloud-native services such as AWS Bedrock, SageMaker, OpenSearch, Azure OpenAI, AI Studio, Data Factory, and related tools. • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. • Strong documentation skills and a commitment to scalable, maintainable engineering practices. SPECIAL REQUIREMENTS/SECURITY CLEARANCE • Must have ability to obtain a Public Trust clearance PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of thi

Overview SilverEdge is a premier provider of innovative cyber, software, and intelligence solutions, addressing mission-critical challenges for the Department of Defense (DoD), Intelligence Community (IC), and beyond. We are dedicated to delivering impactful results to meet mission goals through cutting-edge technology and expertise. We are seeking an AI Engineer to join our dynamic team. This individual will play a pivotal role in developing innovative and effective solutions for our DoD customers within the IC sector. We are seeking an AI Engineer to provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure. The right candidate is a builder at heart—someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires it. Key Responsibilities • Provide SETA support to government teams developing or assessing AI-enabled applications and tools. • Advise on technical approaches for AI application design, prototyping, integration, and evaluation. • Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. • Support the review of architectures, development approaches, model usage patterns, and technical risk areas. • Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration. • Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. • Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders. • Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation. • Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant. • Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices. Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field. • Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. • Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. • Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. • Experience with software development fundamentals, APIs, data handling, and system integration. • Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. • Strong written and verbal communication skills. • Active TS with poly required Desired Qualifications • Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. • Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. • Exposure to model hosting, inference pipelines, or cloud-based AI development environments. • Understanding of secure AI development practices, data protection, and operational constraints in government settings. • Experience supporting defense, cyber, intelligence, or mission application development. • Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies. About SilverEdge SilverEdge Government Solutions was founded on the belief that nurturing talent and collaborating closely with our customers enables us to think big and deliver the best for our country. Our mission is to bring top technology talent together to solve the world’s most challenging problems while protecting the United States and our allies.SilverEdge Government Solutions, LLC is an Equal Opportunity Employer and applicants receive lawful consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Position: Healthcare AI Solutions Architect (Pre-Sales) A leading global technology company is seeking a Technical Architect to partner with healthcare customers to drive digital transformation. The ideal candidate will possess strong technical advisory skills, proficiency in AI and data architectures, and exceptional communication abilities to articulate solutions effectively. Join the team to leverage Salesforce solutions and help clients navigate their technology strategy effectively. The position offers competitive compensation and extensive learning opportunities in a fast-paced environment. #J-18808-Ljbffr

Overview Your role as a Sr. Computer Vision Engineer will be based in Plano, TX to make key contributions to AI projects with a primary focus on computer vision, alongside Natural Language Processing, foundational models and other general AI/ML solutions aligned with PEP AI roadmap within the global digital transformation journey within PepsiCo. You will be part of a collaborative interdisciplinary team around data and analytics, where you will explore new technologies, and design the adoption of new products in the domain of computer vision AI to support the development of digital solutions to create business decision-making. Your work will span retail analytics, quality control systems, supply chain optimization, and consumer insights through visual intelligence. On the one hand, you will work closely with process owners, product owners and final business users. This will provide you with the correct visibility and understanding of criticality of your developments to business stakeholders and S&T functional leaders. On the other hand, you will work closely with other data scientists to transfer your findings to ensure the scalability, robustness and reusability of the solutions that you develop. Responsibilities You will be an internal ambassador of the team's culture around data and analytics. You will provide stewardship to colleagues in the solution development landscape and further lead the onboarding of new developments in AI within the PepsiCo domain, leading the development of best practices and standard ways of working. • Active contributor to code development in projects and services related to computer vision, object detection, image segmentation, video analytics, machine learning, mathematical modeling, AI and ML/AI Operations, and deep learning. • Design and deploy CV models for real-world applications including retail execution monitoring, manufacturing quality control, supply chain optimization, and visual search. • Active contributor in innovation activities, exploring the boundaries of technology to create AI solutions with the ability to continually prove accuracy and with a design goal of productization/reusability. • Create documentation for learnings and knowledge transfer. • Create reusable packages or libraries. • Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. • Partner with other data scientists working on industrialization. • Occasionally, coordinate work activities with business teams, other services and as required. • Communicate with data scientists and other S&T stakeholders in the process of service design, training and knowledge transfer. • Support large-scale experimentation and build analytical models. • Set KPIs and metrics to evaluate analytics solution given a particular use case. • Refine requirements into modelling problems. • Influence product teams through data-based recommendations. • Research in state-of-the-art methodologies. Compensation and Benefits: • The expected compensation range for this position is between $89,000 - $149,000. • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. • Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications • Master's Degree in Computer Science, Data Science, Mathematics, Statistics, Computer Vision, or a related quantitative field. • Preferred: PhD in Computer Science, Machine Learning, Computer Vision, or related fields, with specialization in deep learning for visual recognition. • Minimum: 4+ years of hands-on experience building, deploying, and evaluating computer vision models in a research or industry setting, with a strong focus on object detection, segmentation, or image classification applications. • Ideal: 6+ years of experience, with demonstrable success in developing computer vision solutions, and delivering tangible business value. • Computer Vision models and architectures. • Experience with CNNs (ResNet, EfficientNet, MobileNet), Vision Transformers (ViT, Swin), object detection models (YOLO, Faster R-CNN, DETR), and segmentation models (U-Net, Mask R-CNN, SAM). • Use cases: object detection, image classification, semantic/instance segmentation, visual quality inspection, OCR, video understanding, etc. • Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow, or simil

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us The role of the Research Scientist / Research Engineer will be to develop state‑of‑the‑art methods for AI generative media models, with a primary focus on video and audio generation. At Google DeepMind, we've built a unique culture and work environment where long‑term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general‑purpose learning algorithms. We have already made a number of high‑profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year! The Role Research Scientists and Research Engineers at Google DeepMind lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence. Having pioneered research in the world's leading academic and industrial labs, PhDs, post‑docs, or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They are expected to drive independent research initiatives, work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI. Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures, our Research Scientists are at the forefront of groundbreaking research. Key responsibilities • Design, rapidly implement, and rigorously evaluate cutting‑edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on video and audio synthesis. • Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing. • Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions. • Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity. About You In order to set you up for success as a Research Scientist / Engineer at Google DeepMind, we look for the following skills and experience. Qualifications • PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience. • Proven experience in deep learning research and development, particularly in generative AI and related to video and audio synthesis. This includes diffusion models and autoregressive generative models. • Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high‑quality research prototypes and systems. • Strong publication record at top‑tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV). Additional Advantages • Demonstrated experience in large‑scale training of multimodal generative models. • A keen eye for visual aesthetics and detail, coupled with a passion for creating high‑quality, visually compelling generative content. • A real passion for AI! At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. How to Apply Interested in this position? Please submit your resume and cover letter through the application portal. Appian Communications Inc McLean, Virginia

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: • Play a key role in architecting the algorithms and models that will power our products • Train on a dedicated high-performance compute cluster specialized for deep learning research • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions • Remain an active contributor to the research community by partnering with universities and publishing high impact papers Who we are: Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience. Responsibilities • Develop highly scalable classifiers and detectors that solve real-world problems • Learn and understand a large body of research in deep learning and machine learning • Participate in cutting-edge research for medical applications of computer vision Must Have Experience • Experience with deep learning and convolutional networks • Strong theoretical and empirical research background • Fluency with a deep learning framework and Python Nice to Have Experience • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR • Large scale machine learning experience working with terabytes of data • Implemented custom operations/modules in a deep learning framework • Imagination, ambition, and curiosity We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: • Play a key role in architecting the algorithms and models that will power our products • Train on a dedicated high-performance compute cluster specialized for deep learning research • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions • Remain an active contributor to the research community by partnering with universities and publishing high impact papers Who we are: Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience. Responsibilities • Develop highly scalable classifiers and detectors that solve real-world problems • Learn and understand a large body of research in deep learning and machine learning • Participate in cutting-edge research for medical applications of computer vision Must Have Experience • Experience with deep learning and convolutional networks • Strong theoretical and empirical research background • Fluency with a deep learning framework and Python Nice to Have Experience • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR • Large scale machine learning experience working with terabytes of data • Implemented custom operations/modules in a deep learning framework • Imagination, ambition, and curiosity

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At EY, we are dedicated to creating a future filled with opportunities and innovations. Join our dynamic team to elevate your career in a global environment rich with diversity and collaboration. We are committed to building a better working world. We specialize in business intelligence and digital analytics, combining tailored strategies in customer analytics, data visualization, and optimization. As pioneers in machine learning and artificial intelligence, especially in generative AI, we empower our clients to leverage advanced technologies securely and effectively. Our methods are grounded in best practices and extensive business insight, ensuring exceptional execution and client satisfaction. The Opportunity We invite you to apply for the role of Principal AI Solutions Architect, where you will lead the charge in AI innovations and strategic implementations within the Technology, Media, and Telecommunications (TMT) sector. The ideal candidate will have deep expertise in AI and machine learning, a proven track record of delivering transformative AI solutions, and a passion for using AI to drive significant outcomes for clients. This vibrant sector offers extensive opportunities for skill enhancement and career progression. Your Key Responsibilities • Design and architect complex, multi-layered AI systems that are scalable, robust, and customized to achieve transformative results in the TMT industry. • Lead the technical design and deployment of enterprise-level AI solutions, utilizing cloud-native architectures for improved data management and analytics. • Conduct in-depth technical sessions to identify detailed AI requirements, translating them into actionable execution plans with defined success metrics. • Create AI governance frameworks to address ethical considerations, ensure compliance, and enforce strong security measures in solution designs. • Apply advanced AI methodologies, including computer vision and Generative AI/Natural Language Processing, to drive tangible enhancements in client operations. • Translate complex analytical insights into actionable strategies for C-suite stakeholders using sophisticated data visualization techniques. • Mentor AI Engineers and Data Scientists, promoting best practices in software engineering, algorithm optimization, and systems integration. • Stay ahead of emerging AI technologies and methodologies, ensuring our service offerings remain competitive. • Serve as a technical authority on data architecture, championing modern data technologies for managing high-volume, fast-paced data ecosystems. • Execute AI projects meticulously, ensuring alignment with specifications, deadlines, and quality standards. • Maintain an expert understanding of industry trends and technological advancements to improve strategic solution architecture. • Foster a culture of technical excellence and teamwork within AI project teams. • Drive business development initiatives and cultivate long-term client relationships through impactful AI-driven solutions. To qualify for the role, you must have: General and Technical Experience • 8-10 years of experience in industry or technology consulting. • In-depth knowledge of AI fields, including machine learning, deep learning, Natural Language Processing, and computer vision. • Ability to design end-to-end AI solutions from data collection and processing to model development, deployment, and monitoring. • Exceptional proficiency in advanced Python programming for AI applications. • Hands-on experience with stable and evolving AI frameworks and design patterns. • Demonstrated history of deploying AI models in production settings. • Proven ability to lead teams in the design, testing, deployment, and refinement of AI models, incorporating MLOps and AIOps practices. • Practical understanding of AI governance principles and their implementation within AI pipelines. • Outstanding leadership, communication, and project management skills. • Willingness to travel to meet client requirements. Industry Experience • Extensive background in the telecommunications sector with a solid understanding of industry trends. • Experience with the Telecom customer lifecycle, including marketing, acquisition, onboarding, billing, and customer care. • Familiarity with Telecom network management, covering installation, maintenance, repairs, data collection, and network optimization. • Knowledge of customer segmentation, churn prediction, and recommendation systems specific to media and telecommunications. • Understanding of revenue assurance, data, systems, and processes. • Awareness of regulatory and compliance considerations relevant to the TMT sector. • Experience with OSS/BSS systems, including implementation, enhancement, maintenance, and support. • Familiarity with telecommunications protocols like 5G and LTE and their data science implications. • Proven ability to design and implement machine learning solutions to enhance network performance and customer

Description Are you an early-career researcher hoping to invent the future of artificial intelligence (AI)? Do you have a burning desire for your research to serve a bigger purpose? Are you concerned about pressing challenges facing our nation's security and prosperity? If these questions describe you, you may be the kind of person the Artificial Intelligence Group at JHU/APL is looking for. We are a team within the Research and Exploratory Development Department (REDD) that strives to close the gap between frontier models and our sponsors' expectations for an AI-dominated future. Our research programs are targeting foundational advances with cross-mission impact, such as: • Improving alignment of AI agents used in human-machine teaming and wargaming • Training multimodal foundation models on language and sensor data • Intelligent robots that use agentic AI to perform complex tasks in a self-directed way • Assessing, mitigating, and exploiting vulnerabilities of frontier models • Mission‑driven test and evaluation (T&E) of novel research We are seeking new PhD graduates that, in the short-term, can make important contributions to our current research, and in the long-term can grow into a thought leadership role for the Laboratory. We have many opportunities for you to propose your own ideas for internal seedling funding, and our Program Managers can help you grow these into externally‑funded projects. Along the way, we will encourage and support publication of your work and engagement with the broader research ecosystem. Qualifications You meet our minimum qualifications for the job if you: • Have a PhD or equivalent degree with dissertation work in fundamental AI research. • Have a strong record of peer‑reviewed publications in reputable journals and/or conferences. • Are proficient in Python programming with experience using PyTorch and/or Jax, including Hugging Face libraries (transformers, diffusers, datasets, tokenizers, etc.). • Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You’ll go above and beyond our minimum requirements if you have research experience in any of these areas: • Measuring and increasing alignment between humans and AI agents • Novel techniques for training and/or fine‑tuning foundation models • Models or agents for robotic control and problem‑solving • Adversarial and/or natural robustness of computer vision and autonomy • Neural rendering techniques for 3D scene reconstruction About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world‑class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore‑Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign‑on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL pro

Overview We are looking for a product marketing leader to champion the adoption and success of our AI + Human Intelligence (AI+HI) initiatives. This individual will possess an outstanding ability to analyze problems and apply quantitative and analytical approaches toward trajectory-changing service and solutions. Strong strategic skills, seamless cross-functional partnerships, customer empathy, a bias for speed, and executive-level influence skills will be essential. This leader will operate in strong partnerships with Analytics, Product Management, Service Delivery, and Finance. To be successful, you will bring a mix of strategic vision, communication skills, collaborative mindset, go-to-market experience, and a customer-centric orientation within a cross-functional, dynamic organization that moves with velocity. Responsibilities • Leverage advanced market and competitive intelligence and data to deeply understand customer behaviors and market needs to proactively define function-wide strategies to capitalize on AI+HI growth opportunities with strategic and executional excellence. • Develop a deep understanding of AI+HI offerings and value equations to influence product and service delivery roadmaps, pricing, and entitlements, to create compelling customer experiences that deliver distinct advantages in the market. • Translate segment and marketplace needs into strategic product marketing plans to drive both acquisition and retention of users. • Leverage the appropriate learning strategies, including qualitative and quantitative research and A/B testing to roll-out experiences that deliver improved business outcomes. • Establish metrics for success and actively analyze business data to generate insights and make informed decisions that drive business results. • Craft comprehensive and engaging narratives and messaging hierarchies that are customer and research-backed. • Lead with operational rigor through the development of principle-based prioritization across an array of AI+HI offerings and initiatives. Qualifications • 10+ years professional experience in product marketing • Bachelor’s degree required. MBA or equivalent experience preferred. • Deep knowledge or experience with AI and human expert services is highly preferred. • Experience influencing senior leaders and cross-functional stakeholders with data-backed visions to drive alignment and buy-in. • Exceptional written and verbal skills to communicate objectives, recommendations, and results to senior leaders. • Demonstrated high levels of ownership, responsibility, initiative and the desire to drive significant, measurable performance results. • Proven success in turning deep customer understanding into insightful market strategy and execution that drives business results. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Northern California (Mountain View): $197,000 - $266,500 Southern California: $183,000 - $247,500

Job Description Are you passionate about driving innovation in the AI landscape? We invite you to join our team as a Senior Product Manager, where you will play a critical role in shaping product strategy and accelerating revenue growth for our cutting-edge Agentic AI workloads. This is a crucial position within our AI Data Platform product line, allowing you to lead solution development while ensuring commercial success. Your unique blend of technical expertise and business insight will help transform complex data platform and AI challenges into valuable solutions. You will also have the opportunity to build strategic partnerships with our enterprise customers. Key Responsibilities Revenue Generation & Strategy • Create an extensive library of use cases for Agentic AI and design impactful sales and engineering enablement programs that resonate with prospective clients. • Devise and execute scalable initiatives that enhance revenue, including effective go-to-market strategies, customer engagement events, proof-of-concept trials, and pilot programs. • Work collaboratively with sales leadership to identify and capitalize on high-value opportunities within targeted market segments. Technical Leadership & Expertise • Act as the key product authority and technical leader on Agentic AI patterns for our field sales teams and engineering group. • Produce thorough technical resources, including reference architectures, solution demonstrations, and customer design patterns. • Facilitate technical discovery sessions and solution design workshops with current and prospective customers. Customer Relationship Management • Engage in detailed technical discussions with data engineers and scientists to identify their needs and deliver customized solutions. • Champion the AI Data Platform at both virtual and in-person engineering forums, increasing awareness and understanding. Solution Architecture & Positioning • Convert complex product capabilities into clear, value-centered propositions tailored for diverse stakeholders like data engineers, data scientists, analysts, and business executives. • Craft targeted, industry-specific positioning and use cases across multiple sectors to amplify product attractiveness. • Partner with the product management team to influence roadmap priorities by incorporating customer feedback and market insights. This role plays a vital part in driving the success of our AI Data Platform. Join us in shaping the future of technology! Compensation Information US: Hiring Range in USD from: $115,400 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle offers a comprehensive benefits package, including medical, dental, vision insurance, short and long-term disability, 401(k) with company match, and a flexible vacation policy. For a detailed list of benefits, please see our benefits package. This role will accept applications for a minimum of three calendar days from the posting date or until the position is filled. About Oracle As a leader in cloud solutions, Oracle utilizes innovative technology to address contemporary challenges. We are committed to fostering an inclusive workforce and providing opportunities for all. With over 40 years of experience, we pride ourselves on innovation and community involvement. Join Oracle and be part of a culture that values collaboration and growth. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans' status.

Senior Data Scientist / Machine Learning (ML) Engineer TechTrend is seeking a talented Senior Data Scientist / ML Engineer to join our team. Project staff will design, develop, and deploy an optimized AI-enabled data collection model integrated with AI by Anybody Lakehouse on an Azure integrated cloud platform. While leveraging our client’s established AI and data governance framework, the team will implement data Findability, Accessibility, Interoperability, and Reusability (FAIR) metadata standards and build automated pipelines, reproducible ML workflows, and tiered data access. This is an opportunity to implement leading AI technologies and be a member of an environment that thrives on innovation and the ideas of all members of the team. Our corporate culture is built on collaboration, and we strive to provide our employees with opportunities to continue building your skills through training and project diversity. Duties and Responsibilities • Develop predictive models for survey optimization • Perform feature engineering and algorithm tuning • Validate models through A/B testing • Ensure reproducibility and FAIR compliance Experience Requirements • Minimum of 10 years’ experience working on data modeling, data architecture, and data science projects • Minimum 5 years in AI/ML model development and deployment • Experience with Azure platform and related services such as Databricks • Experience with supervised learning, feature engineering, and algorithm optimization • Hands-on experience with Lakehouse architecture and cloud platforms (Azure preferred) Technical Skills • Proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) • Ability to design reproducible pipelines and ensure compliance with FAIR principles • Strong understanding of data governance and bias detection Education Requirements Required certification in a data science field (CAP, Azure Data Scientist, etc.) Job Location Hybrid, once a week in Reston office-Must live within commutable distance to Reston, VA Benefits • Medical, Dental and Vision Insurance • Life, Short and Long-term Disability Insurance • PTO & federal holidays off • 401(k) Plan (matching component included) • Free Gym Access at Headquarters TechTrend, Inc. is a Small Business providing IT products and services to both the government and commercial markets. We were founded in 2003 and continue to evolve as a leading provider of enterprise-wide services and technology solutions. TechTrend is a noted and trusted partner to our clients who seek our knowledge and guidance for their most critical and complex IT projects. TechTrend's mission is to provide comprehensive, enterprise-wide IT solutions to our clients' complex challenges. We serve as a liaison for positive organizational change by forming relationships and building bridges across functions, gaining buy-in from both leaders and end-users, and removing barriers to mission success. Our established processes ensure quality delivery of results by maximizing efficiency, productivity, and client satisfaction enterprise wide.

Position: Senior Data Scientist (AI/ML/GenAI Specialist) Washington D.C. / New York (updated February 25,[...] Senior Data Scientist (AI/ML/GenAI Specialist) Washington D.C. / New York About Vantage Score At Vantage Score we drive impact for good on a massive scale impacting tens of millions of people across the United States. Our mission is to be the leading credit modeling company delivering the most predictive, most innovative, and most inclusive tri‑bureau models and attributes in the US market. Our innovation is increasing access for millions more Americans to financial products and home ownership. Our models are among, if not the most, inclusive in the United States and power billions of credit scores a year. We are fueled by a growing, exceptionally talented team and are actively seeking individuals who can join us in driving us toward our ambitious goals. At Vantage Score, you’ll have the unique opportunity to work within a fast‑paced, independent start‑up culture while enjoying the financial stability that comes from being backed by the three leading US credit bureaus. Vantage Score® consumer credit scoring models combine the need for both financial inclusion and dependable predictiveness across all scoring ranges. An industry thought leader and technology innovation leader, the company’s most recent models score approximately 94 percent of all adults 18 and older - including 33 million more people than conventional models - without sacrificing safety and soundness. As a result, lenders using Vantage Score can extend credit to those who have been historically marginalized, including minority and lower‑to‑middle‑income Americans. Vantage Score credit scores are used by over 3,700 banks, fintechs and other companies use Vantage Score credit scores every day to assess consumer creditworthiness. Last year, over 42 billion Vantage Score credit scores were used representing a 55% yearly increase. All 10 US banks use Vantage Score credit scores or digital tools in one or more line of business. Starting in 2025 the FHFA has required Vantage Score credit scores to be used for all mortgages sold to, or guaranteed by, Fannie Mae and Freddie Mac. Get started using Vantage Score credit scores today - we are the leader in predictive power and financial inclusion. About The Role We are seeking a highly motivated and innovative Senior Data Scientist (AI/ML) to join our brilliant team of analytics professionals and developers, supporting the cutting‑edge development of credit scoring models, generation of unique insights, and delivery of transformative technologies rooted in innovative value propositions. In this role, you will be essential to credit score model innovation, credit and open banking related research initiatives, pilot program analyses with lenders and fintech partners, and ongoing model monitoring and reporting processes. You’ll bring your expertise in AI/ML and GenAI/Large Language Models (LLMs) to advance our use of structured and unstructured data to deliver new products and insights. You’ll partner cross‑functionally to deliver scalable AI‑powered products and solutions that redefine how consumers engage with credit - ensuring our models are accurate, explainable, and aligned with our mission to empower responsible lending and financial inclusion. Key Responsibilities • Conduct advanced research on structured and unstructured data, developing insights to support product management and new product development. • Contribute to the design, development, evaluation, and deployment of machine learning (ML) models, including credit risk and predictive models. • Serve as the team’s expert on GenAI/LLMs, adapting and fine‑tuning models and ensuring explainability and compliance. • Drive pilot program analyses, including back‑testing, rejection inference, and performance analyses using diverse data sets. • Improve and maintain existing model monitoring processes and develop compelling data visualizations and dashboards to communicate key insights to stakeholders. • Partner with engineers to operationalize models into production systems, ensuring scalability and resilience at high data and inference volumes. • Research and apply emerging AI/ML, GenAI/LLM technologies, staying abreast of state‑of‑the‑art methods, tools, and best…

Location: Laurel A leading software development company in Laurel, Maryland, is searching for a Software Engineer to enhance developer productivity through advanced tooling and automation. The role involves designing AI-assisted IDE features and integrating agent-based systems for repetitive tasks. Candidates should have strong programming skills and hold a B.S. in a technical field with at least 8 years of experience. An active TS/SCI clearance is mandatory. This position offers a competitive salary between $200,000 and $220,000, alongside potential bonuses for referrals. #J-18808-Ljbffr

Standard Title: Required Security Clearance: Top Secret/SCI with Full Scope Polygraph City: Annapolis Junction State/Territory: Maryland Travel: None Potential for Teleworking: No Schedule: Full Time DoD 8570 IAT Requirement: None DoD 8570 IAM Requirement: None DoD 8570 IASAE Requirement: None DoD CSSP Requirement: None Last Updated: 2/12/26 8:30 PM Requisition ID: 531600 US Citizenship Required?: Yes Pay Range: $158,597.15 to $211,462.87 Work Type: On-Site Referral Eligibility: Eligible Job Description Base-2 Solutions is seeking an AI/ML Engineer who designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Required Skills • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. • Select appropriate data sets. • Perform statistical analysis. • Run machine learning algorithms. • Use results to improve models. • Train and retrain systems when needed. • Experience in working with various ML libraries and packages. • Run standard test and evaluation protocols. • Provide system integration oversight. • Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements. • Research and implement a broad range of AI and ML algorithms and tools. • Design or Select appropriate data and knowledge representation methods. • Recognize software architecture, data modelling, and data structures. • Transform and convert data science prototypes into scalable solutions. • Verify data and model output quality. • Identify differences in data distribution that affect model performance. Qualifications • Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. • Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Desired Skills • Expert knowledge with multiple programming languages, including: • Python • Java • R Pay & Benefit Highlights Compensation • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). • Employee referral bonuses up to $10,000 per hired referral. • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health • 100% company-paid medical premiums for employees and eligible dependents. • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. • 100% company-paid dental premiums for employees and eligible dependents. • 100% company-paid vision premiums for employees and eligible dependents. Income Protection • 100% company-paid premiums for short-term disability. • 100% company-paid premiums for long-term disability. • 100% company-paid premiums for accidental death & dismemberment (AD&D). • 100% company-paid premiums for life insurance up to $200,000. Retirement • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). • 401(k) pre-tax and Roth options. Leave • Up to 20 days of flexible paid time off (PTO). • 11 paid floating holidays. Work-Life Balance • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent). Equal Opportunity Employer Base-2 Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Find Ai Ml Research Scientist positions in Annapolis Junction, Maryland, United States. Browse opportunities on HiringCafe. Apply to remote, hybrid, and onsite positions.

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

The application window will be open until at least March 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Boulder, CO, USA. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). • 1 year of experience with Computer Vision (e.g., image classification and processing, object detection, visual search), video generation, or signal processing. Preferred qualifications: • Master's degree or PhD in Computer Science or a related technical field. • 2 years of experience with data structures and algorithms. • Experience developing accessible technologies. • Experience developing multimodal machine learning systems and optimizing performance using C++ and LLVM, with proficiency in JAX-RS for service-level integration. • Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Map Geometry team is at the forefront of Artificial Intelligence automation for the creation and maintenance of the world's map geometry. In this role, you will leverage Generative Artificial Intelligence techniques to automate the extraction and refinement of map features from data sources like aerial and satellite imagery. This work directly impacts core Google products such as Navigation and Auto alongside a growing number of internal generative AI initiatives. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world. The US base salary range for this full-time position is $141,000-$202,000 + 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 • Design, develop, train, evaluate, and deploy machine learning models for geospatial feature extraction and analysis. • Analyze and experiment with different ML techniques and architectures to improve model performance, robustness, and efficiency. • Collaborate with client engineers, researchers (e.g., GDM, Google Research), and product managers to define requirements, develop solutions, and land models and automated map edits into production systems. • Contribute to the full model development lifecycle, including data preparation, training, validation, deployment, and monitoring. • Stay up-to-date with the latest advancements in machine learning and computer vision. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veter

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: • Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc. • Deploy, maintain, and optimize ML models and data processes in a production environment  • Develop custom Computer Vision (CV) algorithms that translate into mission value • Create tools to provide feedback from production ML models and data processes  • Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow). • Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking • Stay up to date with the latest research and advancements in the field of computer vision and deep learning • Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets • Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency • Assist in the integration of computer vision algorithms into production systems and applications • Document code, methodologies, and experimental results Here's what you need: • Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow) • Proficiency with programming languages such as Python, C/C++ or Rust • Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks • Strong analytical and problem-solving skills • Ability to work collaboratively in a team environment and take direction from senior team members • Hands-on experience with developing computer vision models at scale from inception to business impact • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches • U.S. Citizenship (No Dual citizenship) Bonus points if you have:  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required  • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP • Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment  • Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar) Security Clearance: • Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $108,400—$203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is gr

Job Number: R0234795 AI Security Solutions Architect The Opportunity: As a Secure AI Architect, you’ll be responsible for designing and implementing secure architectures for artificial intelligence and machine learning (AI/ML) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks. You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives. Join us. The world can’t wait. You Have: • 8+ years of experience in cybersecurity, systems architecture, or software engineering, including AI/ML solution design • 5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions • 3+ years of experience designing, deploying, and securing AI/ML pipelines, including model training, inference, and monitoring • Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow • Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management • Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics • Knowledge of AI governance frameworks and DoD Responsible AI principles • Secret clearance • HS diploma or GED • DoD 8140 Certification such as Security+, CISSP, CASP+, CCSP Certification Nice If You Have: • Experience operating in IL5, IL6, or IL7 environments • Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response • Experience securing large language models, RAG architectures, or agentic AI systems • Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring • Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion • Experience with data governance for AI training data in multi-classification or coalition environments • Bachelor's degree in CS, Data Science, AI, Cybersecurity, or Engineering Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; 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 qu

About the Company Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. • Company Type: Publicly traded • Product: AI-centric GPU cloud platform & infrastructure for training AI models • Candidate Location: Remote anywhere in the US Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. The Opportunity We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers. What You'll Do • Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements • Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices • Collaborate with clients to understand their business requirements and develop solution architectures • Design and document Infrastructure as Code solutions, technical documentation, and how-tos • Help customers optimize pipeline performance and scalability • Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams • Assist with marketing efforts during events such as hackathons, conferences, and webinars What You Bring • 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing • Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python • Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL) • Solid understanding of the cloud ML tools landscape from industry leaders • Legal authorization to work in the U.S. on a full-time basis without visa sponsorship Key Attributes for Success • Self-starter who thrives in a fast-paced, evolving startup environment • Collaborative team player who can work effectively across different departments and cultures • Results-oriented with a strong sense of ownership and accountability • Innovative problem-solver who can identify new opportunities for growth • Continuous learner, eager to stay updated on the latest AI and cloud computing trends • High ethical standards and integrity, with a commitment to responsible AI development • Passionate about democratizing access to AI infrastructure Why Join? • Competitive compensation ranging from $225,000 to $315,000 per year (negotiable based on experience and location) • Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families • 401(k) plan with a 4% match program • Stock options plan • Flexible remote work environment • 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers • Up to $85/month for mobile and internet • Opportunity to work with cutting-edge AI and cloud technologies • Contribute to sustainable AI infrastructure with energy-efficient data centers • Be part of a team that operates one of the most powerful commercially available supercomputers Interviewing Process • Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&A) • Level 2: Virtual interview with the Hiring Manager (Skills assessment) • Level 3: Interview with the C-level (Final round) • Reference and Background Checks: Conducted post-interviews • Offer: Extended to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Description Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization, you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You will also create field enablement materials for the broader technical field population, to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches. You should understand the security and compliance requirements for ML/GenAI implementations. You must have experience with LangChain, LLAMAIndex, Data Augmentation, Responsible AI, and Performance Evaluation frameworks. You should have experience architecting end to end ML/Gen AI applications for customers using AWS services and Well Architected Framework. Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation. Travel up to 50% may be possible. Key job responsibilities • Customer Advisor- Implement, and deploy state of the art machine learning solutins under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers. • Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. • Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and providing guidance on their customer engagements. • Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback. • Develop and support an AWS internal community of GenAI related subject matter experts worldwide. Create field enablement materials for the broader technical population, to help them understand how to integrate AWS GenAI solutions into customer architectures. About The Team Diverse Experiences AWS values diverse experiences. Even if

We Are In a groundbreaking era where Data & AI are transforming industries and society, our team at Accenture is at the forefront with a robust vision supported by a $3B investment in Data & AI. With a global workforce of over 45,000 AI professionals, we are driving innovation powered by extensive expertise and strong partnerships, delivering industry-defining solutions. You Are: As a Senior AI Solution Architect, you will take charge of designing and delivering comprehensive AI architecture for platforms, products, or engagements across diverse cloud environments—public, private, or sovereign clouds. Your role involves creating enterprise-grade AI solutions that prioritize scalability, security, governance, and performance to effectively meet our clients' business objectives. You'll utilize cutting-edge innovations in AI Agents, Generative AI, Foundation Models, and Knowledge & Data Engineering. This is a high-impact position that allows you to demonstrate AI technologies for solving complex business challenges and ensuring enterprise readiness. The Work Strategy & Planning • Facilitate AI architecture and technical design workshops with clients and internal teams. • Collaborate with client teams to finalize architectural requirements for AI solutions. • Assess, rationalize, and choose the technologies necessary for developing a complete AI platform or system. • Estimate design alternatives, required efforts, timelines, and roadmaps for deploying AI solutions. • Create Total Cost of Ownership (TCO) models and evaluate the financial feasibility of AI platforms and solutions. Architecture & Design • Document and design architectural alternatives, technology choices, and recommendations. • Identify and facilitate agreement on key architectural decisions for AI solutions. • Create and document multi-agent architecture blueprints and various AI solution architecture blueprints. • Establish knowledge architectures, including knowledge graphs and semantic layers to empower AI Agents. • Integrate AI security within all platforms and solutions. • Develop and document solutions for AI security, governance, and observability. • Design and document operations solutions for AI agents and large language models (LLMs). • Recommend optimizations for performance, cost, and trust. Implementation • Implement AgentOps / LLMOps, AI Governance, AI Security, and AI Observability solutions. • Create reusable AI components and agents for advanced AI systems and platforms. • Diagnose, analyze, and enhance the performance of AI systems and agents. Note: Travel may be required for this role, with varying amounts based on business needs and client requirements. Here's what you need: • A minimum of 2 years experience in designing and implementing scalable Agentic AI and Generative AI solutions currently in operation. • At least 2 years of experience in designing and implementing Agentic AI and Generative AI platforms used by multiple solutions. • A minimum of 5 years experience engineering and operationalizing large-scale AI/ML solutions on at least one major public cloud platform. • Expert-level understanding of key AI technologies from public cloud providers and open-source tools. • A Bachelor's degree or equivalent experience (12 years); an Associate's degree requires 6 years of experience. Accenture's compensation varies based on factors such as office location, skill set, and experience level. We anticipate this job posting to be available on 01/24/2026 for at least 3 days. Accenture provides a competitive benefits package, including medical, dental, vision, life and long-term disability coverage, a 401(k) plan, bonuses, paid holidays, and time off. For more information on our benefits, visit our website. Role Location Annual Salary Range: • California: $94,400 to $293,800 • Cleveland: $87,400 to $235,000 • Colorado: $94,400 to $253,800 • District of Columbia: $100,500 to $270,300 • Illinois: $87,400 to $253,800 • Maryland: $94,400 to $253,800 • Massachusetts: $94,400 to $270,300 • Minnesota: $94,400 to $253,800 • New York: $87,400 to $293,800 • New Jersey: $100,500 to $293,800 • Washington: $100,500 to $270,300 Accenture is committed to providing equal employment opportunities for all individuals. Accenture adheres to a policy of non-discrimination regardless of various characteristics, believing that diversity fosters innovation and creativity. For details, review the Equal Employment Opportunity Statement on our website. Accenture is an EEO and Affirmative Action Employer of Veterans and Individuals with Disabilities, also committed to providing veteran employment opportunities. Applicants in the US must have work authorization that doesn’t require future visa sponsorship. Candidates currently employed by a client of Accenture may not be eligible for consideration. Accenture encourages transparency about pay and does not discriminate based on inquiries regarding compensation. If you have accommodation needs, p

The AI Solutions Architect is responsible for partnering with business units across the organization to identify operational bottlenecks, evaluate automation and AI opportunities, and architect solutions that drive measurable efficiency gains across multiple service lines. This role combines deep technical expertise in AI, data engineering, and platform architecture with strong business acumen and stakeholder engagement skills. The AI Solutions Architect works closely with business unit leaders, engineering teams, and executive stakeholders to evaluate build vs. buy decisions, ensure cross-functional alignment, and deliver scalable solutions that serve multiple teams rather than siloed, one-off implementations. Key Responsibilities Business Unit Partnership and Solutioning • Meet regularly with business unit leaders to understand operational pain points, inefficiencies, and automation opportunities • Translate business problems into technical solution designs that leverage AI, automation, and modern platform capabilities • Facilitate cross-functional alignment to ensure solutions serve multiple business units and avoid duplicative efforts. AI and Automation Strategy • Evaluate and recommend AI/ML tools, platforms, and frameworks that align with enterprise objectives and security requirements • Develop and maintain a solutions roadmap that ties automation initiatives to measurable business outcomes such as efficiency gains and EBITDA impact • Stay current on emerging AI capabilities and assess their applicability to organizational challenges. Architecture and Platform Design • Design scalable, secure architectures for AI and automation solutions across cloud and hybrid environments • Define technical standards, integration patterns, and data pipeline architectures that support repeatable, cross-functional solution delivery • Ensure all solutions align with enterprise security posture, regulatory obligations, and compliance frameworks including CMMC, NIST, and DFARS. Build vs. Buy Evaluation • Lead objective assessments of commercial platforms versus custom-built solutions, considering cost, scalability, security, and long-term maintainability • Develop business cases and technical recommendations for executive review • Manage vendor evaluation processes and proof-of-concept efforts where applicable. Data Strategy and Engineering • Oversee data infrastructure design, including pipelines, storage, and integration layers that support AI and automation workloads • Ensure data quality, governance, and accessibility standards are maintained across solutions • Partner with engineering teams to implement and optimize data flows that feed AI models and automation tools. Security and Compliance Integration • Ensure all AI and automation solutions are designed with security-first principles, including secure data handling, access controls, and threat modeling • Evaluate the security posture of third-party AI platforms and tools prior to adoption, ensuring alignment with organizational security standards • Collaborate with cloud security and compliance teams to ensure solutions meet CMMC, NIST SP 800 series, DFARS, ITAR, and other applicable regulatory requirements • Define and enforce security guardrails for AI model deployment, data ingestion, and API integrations across all solution architectures • Support internal and external security assessments by providing architectural documentation and evidence of control implementation. Stakeholder Engagement and Reporting • Provide regular updates to executive leadership on solution progress, business impact, and roadmap status • Document solution designs, architectural decisions, and technical standards for organizational transparency and audit readiness • Champion a culture of AI adoption and operational efficiency across the organization Qualifications US Citizenship Required Must possess, and be able to maintain a Secret Clearance. Minimum Qualifications • Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline. • A minimum of five years of progressive experience in solutions architecture, data engineering, AI/ML engineering, or a combination of related technical disciplines. • Demonstrated experience designing and delivering AI or automation solutions in enterprise environments. • Proven ability to engage with non-technical business stakeholders, translate operational challenges into technical solutions, and drive cross-functional alignment. • Strong experience with cloud platforms (Azure, AWS, or GCP), data pipeline technologies, and modern AI/ML frameworks. • Experience operating in regulated environments with familiarity with compliance frameworks such as CMMC, NIST SP 800 series, DFARS, or equivalent. Preferred Qualifications • Eight or more years of experience across solutions architecture, data engineering, and AI/ML. • Experience in the government contracting or defense sector. • Hands-on experience with large language

Job Number: R0234795 AI Security Solutions Architect The Opportunity: As a Secure AI Architect, you'll be responsible for designing and implementing secure architectures for artifi cia l intelligence and machine learning ( AI / ML ) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks. You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives. Join us. The world can't wait. You Have: • 8+ years of experience in cybersecurity, systems architecture, or sof tware engineering, including AI / ML solution design • 5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions • 3+ years of experience designing, deploying, and securing AI / ML pipelines, including model training, inference, and monitoring • Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow • Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management • Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics • Knowledge of AI governance frameworks and DoD Responsible AI principles • Secret clearance • HS diploma or GED • DoD 8140 Certification such as Security+, CISSP, CASP+, CCSP Certification Nice If You Have: • Experience operating in IL5, IL6, or IL7 environments • Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response • Experience securing large language models, RAG architectures, or agentic AI systems • Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring • Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion • Experience with data governance for AI training data in multi-classification or coalition environments • Bachelor's degree in CS, Data Science, AI, Cybersecurity, or Engineering Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; 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-Discrimina

About Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges. About You: You’re a computer vision specialist who loves turning raw sensor data into actionable insights. You thrive at the intersection of algorithms, hardware, and real-world deployment—designing systems that can see, understand, and interact with the physical world. You’re comfortable moving between high-level model development and low-level camera calibration, and you take pride in building robust solutions that work reliably outside the lab. Responsibilities: • Develop and implement object detection and identification algorithms for real-time applications. • Design and optimize depth sensing and 3D mapping pipelines, integrating data from cameras and other sensors. • Specify, configure, and calibrate camera systems, including selection of optics, sensors, and hardware. • Develop tools and processes for camera calibration, synchronization, and data acquisition. • Fuse data from multiple cameras/sensors to improve accuracy and robustness in perception systems. • Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. • Conduct experiments, evaluate performance, and refine algorithms for accuracy, efficiency, and scalability. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field. • Strong experience with computer vision algorithms (object detection, tracking, identification, SLAM). • Proficiency in depth sensing and 3D reconstruction techniques (stereo vision, structured light, ToF, LiDAR integration). • Hands-on experience with camera setup, specification, and calibration (intrinsic/extrinsic, distortion models, multi-camera rigs). • Proficiency with computer vision libraries and frameworks (OpenCV, PyTorch/TensorFlow, CUDA). • Experience developing in C++ and/or Python for high-performance vision applications. • Strong understanding of camera hardware and imaging pipelines. • Ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment. Nice to Haves: • Experience with ROS/ROS2 integration for robotic vision. • Familiarity with real-time embedded systems or GPU optimization. • Knowledge of multi-sensor fusion (IMU, LiDAR, radar) for perception. • Background in calibration automation and large-scale data collection pipelines. This position is based on-site at Merlin HQ in Boston, MA. Once you’re here, you’ll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed. Our goal is to create an environment where you can thrive both professionally and personally Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission. Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks. At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: people@merlinlabs.com Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.

We are building a real-time AI system that tracks basketball players and teams using mobile phone video, generating live game statistics without on-site statisticians. This project focuses on computer vision and machine learning applied to real-world basketball footage (handheld phones, varying angles, indoor courts). The system will detect and track multiple players (5v5, 3x3, 1v1), separate teams by jersey color, and output structured tracking data that can power livestream overlays and performance dashboards. This is a production sports-tech project, not academic research. We are looking for an experienced ML / Computer Vision freelancer who has worked on real-time video, multi-object tracking, and noisy environments. There is strong potential for long-term collaboration if Phase 1 is successful.

Project Context CrackCoach is an AI platform for automatic analysis of show-jumping videos. This role builds the IMAGE-level perception and geometry stack that everything depends on: detection, tracking, obstacle understanding, jump segmentation, and metric calibration in real-world competition footage. Without a rock-solid perception and geometric foundation, pose estimation, biomechanics, and AI coaching are not reliable. ⸻ Core Mission and Responsibilities You will design, implement, and validate a production-grade computer vision pipeline capable of ingesting raw competition videos and producing robust, structured, and metric-aware outputs. Your responsibilities include: • Video ingestion and preprocessing: handle codecs, resolutions, FPS, orientation, stabilization, and cropping policies. • Horse-and-rider detection using state-of-the-art detectors (YOLO / RT-DETR / Detectron2 or equivalent). • Persistent tracking across frames (ByteTrack, BoT-SORT, DeepSORT, Kalman-based trackers). • Obstacle detection and scene understanding for show-jumping arenas (rails, poles, standards). • Obstacle-to-jump association logic: correctly identify which obstacle is being jumped and when. • Automatic segmentation of a full round video into individual jump clips (per-obstacle segments). • 2D trajectory reconstruction of the horse in image space with stable, low-jitter trajectories. 2D Metric Calibration (Image → Ground Plane) In addition to perception, this role includes implementing a robust 2D metric calibration module: • Estimate a ground-plane homography (image → ground) using stable scene references such as obstacle bases or other ground contact points. • Compute a pixel-to-meter scale, ideally leveraging known or user-declared obstacle heights (e.g. “course at 1.35m”) when available. • Project horse trajectories from image space to ground-plane coordinates in meters. • Enable metric estimates such as: • approach speed (m/s) • distances between obstacles (m) • take-off and landing distances at ground level (m) • approximate stride length at ground level (when combined later with biomechanics) • Provide a calibration confidence indicator and gracefully fall back to relative (pixel-based) measures when calibration is unreliable. The calibration module must be robust, non-blocking, and designed for real-world competition footage (single camera, uncontrolled viewpoints). ⸻ Required Technical Skills • Strong background in computer vision applied to video (sports footage experience is a strong plus). • Proven experience with object detection (YOLO family, Detectron2, RT-DETR, etc.). • Multi-object tracking expertise (ByteTrack / BoT-SORT / DeepSORT; handling occlusions and ID switches). • Experience with segmentation models (Mask R-CNN, YOLO-Seg, SAM-family) if needed for background removal. • Solid understanding of image-space geometry and camera perspective limitations. • Experience implementing 2D metric calibration using planar homography and RANSAC. • Comfortable working with pixel-to-meter conversions and expressing metric uncertainty. • Advanced Python and OpenCV; deep learning framework (PyTorch preferred). • Experience building modular, maintainable pipelines with clear interfaces and exports. ⸻ Key Technical Challenges • Highly variable camera angles, zoom levels, and lighting conditions. • Dynamic occlusions from obstacles, rails, other horses, and spectators. • Motion blur and compression artifacts in user-generated videos. • Background clutter and false positives (banners, rails, similar shapes). • Maintaining stable trajectories despite noisy detections and temporary misses. • Correct obstacle differentiation and obstacle association in multi-obstacle scenes. • Metric calibration with a single camera, limited scene control, and partial reference data. • Performance constraints: processing HD videos in minutes, not hours. ⸻ Expected Deliverables • A fully modular computer vision pipeline (source code) that ingests raw video and outputs: • detections • tracks • obstacle detections • jump segments • 2D trajectories • ground-plane metric projections (when calibration is reliable) • A 2D calibration module producing pixel-to-meter scale, ground-plane mapping, and confidence scores. • Trained detection/segmentation models (weights + training scripts) when custom training is required. • Clean data exports (JSON / CSV) and stable ROI frame exports for pose estimation and biomechanics. • Visual validation outputs (overlays showing boxes, tracks, obstacles, jump boundaries, and metric projections). • Clear technical documentation defining interfaces and data formats for downstream pose estimation, biomechanics, and AI coaching stages. ⸻ Important Notes • This role does NOT include pose estimation or biomechanics (handled by separate specialists). • Metric calibration is 2D ground-plane based, not full 3D reconstruction. • Robustness and graceful degra

About the position Qualcomm’s Computer Vision Systems team is building the intelligence behind the world’s most advanced Snapdragon‑powered devices, from next‑generation mobile phones to autonomous vehicles, IoT, robotics, and immersive AR/VR platforms. The group’s work spans computer vision and video algorithm development, mapping these algorithms to computer vision and neural‑processing accelerator architectures, and efficient on‑device implementation. We are seeking a Staff‑level, multidisciplinary engineer with deep expertise in computer vision and image/video processing algorithms, combined with strong hardware/software co‑optimization experience. This role is ideal for someone who thrives at the intersection of cutting‑edge computer vision algorithms, AI models, and efficient hardware/software implementation applied to real‑world problems. You will own technical direction across projects, influence system‑level architecture, and drive solutions from research through production deployment. You will work on ideas that enhance everyday life—creating lasting video memories and playback experiences, and enabling innovative devices through advanced video and computer vision technologies. You will have significant opportunities to grow, lead, and shape the future of video and computer vision at scale. Responsibilities • Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder, processing, quality enhancement, and real‑time computer vision pipelines, from concept through production deployment. • Lead system‑ and algorithm‑level architecture definition, standard studies, and feature decomposition to drive hardware and software requirements and specifications. • Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms. • Collaborate closely with cross‑functional teams (hardware, software, systems, and product) and with customers to commercialize technologies and deliver best‑in‑class visual analytics experiences. • Write clear and concise technical documentation, design specifications, and feature descriptions to guide internal teams and external partners. • Contribute effectively in a fast‑paced, highly collaborative environment with globally distributed, cross‑functional teams. • Provide technical mentorship and guidance to engineers across experience levels and influence technical decisions beyond the immediate team. Requirements • Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. • OR • Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. • OR • PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. • Strong background in computer vision and video processing algorithms. • Solid understanding of SoC architecture, including compute accelerators, memory hierarchies, and hardware/software interfaces. • Hands‑on experience with modern deep learning architectures. • Strong coding skills in Python and C/C++ for production‑quality development, optimization, and on‑device deployment, with experience using ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV. • Strong ability to work across algorithm, software, and hardware boundaries. • Experience with real‑time computer vision systems or embedded AI deployment. • Experience using performance profiling tools and hardware simulators. • Works independently with minimal supervision. • Provides technical leadership, supervision, and guidance to other team members. • Decision‑making impacts work beyond the immediate work group. • Requires strong verbal and written communication skills; may require negotiation, influence, and tact. • Has significant technical influence over key product, architecture, and organizational decisions. • Tasks require multi‑step planning, prioritization, and problem-solving, with flexibility in execution order to achieve objectives efficiently. Nice-to-haves • Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. • 4+ years of experience developing and implementing computer vision and video algorithms within system‑level products. • 4+ years of experience with system design, system integration, and hardware/software optimization. • 4+ years of experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems. • 3+ years of experience working in a large, matrixed organization. • 1+ year of experience interacting with

Find Lead Software Engineer Computer Vision Automation Transportation positions in McLean, VA, US. Browse opportunities on HiringCafe. Apply to remote, hybrid, and onsite positions.

R-00177044 Description Join us in improving and shaping the future of the smart mobility with a group of intelligent, motivated, and dedicated individuals! Leidos operates the Federal Highway Administration’s (FHWA) Saxton Transportation Operations Laboratory (STOL), a US Department of Transportation (USDOT) onsite R&D lab located at the Turner Fairbank Highway Research Center. STOL’s focus is on improving transportation system operations to achieve USDOT’s safety, mobility, sustainability and equity goals. STOL spearheads a variety of exciting R&D projects involving emerging technologies, including but not limited to infrastructure and vehicle connectivity and automation, everything-in-the loop simulation, and AI/ML modeling in a fast-paced and collaborative laboratory environment to solve novel transportation research problems. Learn about STOL here: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL To promote these efforts, Leidos is looking for a onsite mid-level Software Engineer to join our team! CANDIDATE MUST: be able to work onsite full time in McLean, VA AND have the Ability to obtain and maintain a Public Trust security clearance ( which includes current three years immediate residency in the US ). Primary Responsibilities: • Analyze and assess the team’s existing ITS software systems to understand their architecture, and how they can be redesigned into more modular, scalable, and maintainable components. • Contribute to internal best practices for software development and lead knowledge sharing to support adoption across development teams. • Work with cross-functional internal team to determine technical feasibility of projects, breakdown project goals into software development tasks, and assist with overall effort and timeline estimation of planned work. • Lead the execution of planned technical work, including design work, addressing unplanned technical challenges, and being responsive to changes in customer needs. • Directly interact with on-site customer representatives and external stakeholders to communicate across technical disciplines as needed throughout a project’s life cycle. • Lead development for research prototypes and proof-of-concepts for various intelligent transportation systems (ITS) applications across a variety of ITS devices, including infrastructure, vehicle, and cloud systems. • Participate in and help shape our open-source software process, triaging and addressing issues reported by external users and evaluating 3rd party code contributions. • Identify, document, and formulate approaches to addressing areas of technical debt. • Conduct hands-on test events and demonstrations, on-site at TFHRC and off-site at test facilities. Minimal Qualifications: • * Interest in working with emerging technologies and shaping the future of transportation. • A Bachelor’s degree in computer science or engineering with at least 4 years of professional experience in object-oriented software development, or a Master’s degree with at least 2 years of professional experience in object-oriented software development. • Experience and familiarity with manual memory management in languages like C/C++. • Experience in developing solutions to open-ended research questions and developing novel approaches to solving problems. • Strong ability and interest to learn new problem domains, new skills, algorithms, and concepts. • Interest and motivation to develop software to answer valuable research questions to advance transportation technology. • Experience with Git. • Experience with Docker (including docker-compose). • Experience developing in an Agile framework using toolsets such as JIRA and Confluence. • Proficiency in software quality techniques and practices (automated unit testing, test-driven design/development, CI/CD pipelines with GitHub Actions, static code analysis tools, etc.). • Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics. Preferred Qualifications: • Extensive experience designing, implementing, and maintaining C++, Java, and Python software packages in a Linux environment. • Experience with Linux build systems and package management systems. • Experience with Kafka or similar message broker systems. • Experience with Robot Operating System (ROS). • Experience with user interface (UI) and/or front-end development. • Familiarity with distributed computing and cloud computing concepts. • Familiarity with one or more robotics concepts such as localization, path planning, perception, or sensor fusion. • Familiarity with simulation environments such as SUMO or CARLA, or other simulators built in Unreal or Unity. • Familiarity with existing CDA infrastructure standards and/or hardware such as those from SAE or IEEE. • Experience in a fast-paced dynamic R&D environment. • Experience as software engineering team lead. Anticipated Salary range for this role is $95-$120k If y

It's fun to work in a company where people truly BELIEVE in what they're doing! Job Description Summary: Rocket's Data Modernization Business Unit aids customers in managing, governing, and maximizing the value of their enterprise data assets. Our clientele comprises many Fortune 500 companies, including some of the world's largest banks, insurance companies, and manufacturing organizations. We are currently seeking motivated and innovative individuals to join our applied machine learning team. This is an opportunity to play a crucial role in the continued evolution of our world-class solutions. Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation. They will be responsible for understanding and adapting current research. The position requires a deep understanding of computational linguistics, image processing, and Python programming. The selected candidate will be part of a collaborative team dedicated to building, fine-tuning, and deploying state-of-the-art models to solve real-world problems in information management, data intelligence, content automation, audit, and analytics. This presents an opportunity to create tremendous business value as we assemble a world-class applied machine learning team. Essential Duties and Responsibilities: • Consult with key internal and external stakeholders to understand and frame model requirements and potential applications. • Design, develop, and deploy machine learning models using tools and platforms optimized for distributed machine learning. • Recommend ongoing improvements to methods and algorithms that lead to findings, including new information. • Evaluate the applicability of current research to our problem domain and software solutions. • Collaborate closely with software engineers to integrate the trained models into end-user applications. • Develop sound analytic plans based on available data sources, business partner needs, and required timelines. • Manage deliverables across multiple projects in a deadline-driven environment and projects related to a wide variety of business settings. • Present results, insights, and recommendations to both technical and non-technical stakeholders. Required Qualifications: • 5+ years of industry experience. • Experience in the professional management of junior data scientists within projects and their continuous professional development. • Expertise in Python, Linux, and ML, familiarity with SQL. • Demonstrated ability to find creative and practical solutions to complex problems. • Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources. • Demonstrated ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions. • A quick learner, highly adaptable to the needs of internal collaborators in a dynamic environment. • Efficiency in managing multiple projects. • Excellent communication and interpersonal skills. • Must be comfortable working in a team-oriented environment. Preferred Qualifications: • Master’s degree in Statistics, Computer Science, Mathematics, Economics, or directly related fields. While all the above qualifications are important, we also value candidates who display a strong passion for continued learning, possess a spirit of innovation, and show high adaptability in a fast-paced work environment. Diversity, Inclusion & Equity: At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce. . Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status. As part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process. Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to people@rocketsoftware.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

EXPERIENCE Early Career LOCATION New York FOCUS Systematic Investing BUSINESS Point72 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.

Gen AI / Machine Learning Engineer (NLP Focus) 📍 Location: Washington, DC (Onsite) 🛂 Work Authorization: Must be authorized to work in the U.S. 🔐 Clearance: Ability to obtain Public Trust or higher (if applicable) Role Overview We are seeking a highly skilled Generative AI / Machine Learning Engineer with strong expertise in Natural Language Processing (NLP) to design, develop, and deploy AI-driven solutions. This role will focus on building scalable ML systems, fine-tuning large language models (LLMs), and implementing NLP pipelines that power enterprise applications. The ideal candidate combines strong theoretical ML knowledge with hands-on engineering experience in modern AI frameworks and cloud-based ML infrastructure. Key Responsibilities • Design, develop, and deploy NLP and Generative AI solutions in production environments • Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases • Build and maintain ML pipelines for data ingestion, preprocessing, training, and inference • Develop prompt engineering strategies and evaluate model performance • Implement Retrieval-Augmented Generation (RAG) architectures • Work with structured and unstructured text datasets • Conduct model evaluation, error analysis, and performance tuning • Collaborate with data engineers and software teams to integrate AI models into applications • Ensure responsible AI practices including bias mitigation, explainability, and governance • Maintain documentation and contribute to AI best practices and architecture standards Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field • 5+ years of experience in Machine Learning or AI engineering • 3+ years of hands-on experience with NLP • Strong programming skills in Python • Experience with ML frameworks such as: • PyTorch • TensorFlow • Scikit-learn • Experience working with: • Hugging Face Transformers • OpenAI / LLM APIs • LangChain or similar orchestration frameworks • Experience building and deploying models in cloud environments (AWS, Azure, or GCP) • Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate) • Strong understanding of: • Embeddings • Tokenization • Text classification • Named Entity Recognition (NER) • Sentiment analysis • Semantic search • Experience with REST APIs and microservices architecture • Familiarity with CI/CD pipelines for ML deployment Preferred Qualifications • Experience with: • RAG architectures • LLM fine-tuning (LoRA, PEFT, etc.) • Distributed training • MLOps tools (MLflow, Kubeflow, SageMaker) • Experience working in regulated or government environments • Exposure to AI governance and compliance frameworks • Experience handling sensitive or classified datasets Nice to Have • Knowledge of reinforcement learning from human feedback (RLHF) • Experience building chatbots, copilots, or AI assistants • Experience with knowledge graphs • Familiarity with Kubernetes and containerization

Prompt Engineer (Remote) 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

Position: NLP & Language Models Engineer (AI/ML) A leading technology consulting firm in Maryland is seeking an AI/ML Engineer to build, train, and evaluate advanced language models. The ideal candidate will have a strong background in machine learning, particularly in natural language processing, and must possess a B.S. degree in a STEM discipline. This full-time position offers an excellent benefits package, including generous PTO and fully paid healthcare from day one. #J-18808-Ljbffr

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.

Applied Researcher I (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. • 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. • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. • Has a deep understanding of the foundations of AI methodologies. • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. • Experience in delivering libraries, platform level code or solution level code to existing products. • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields • LLM • PhD focus on NLP or Masters with 5 years of industrial NLP research experience • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) • Publications in deep learning theory • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR • O

Find Ai Research Scientist positions in Maryland, United States. Browse opportunities on HiringCafe. Apply to remote, hybrid, and onsite positions.

Required: • U.S. Citizenship Required. • Must have the ability to obtain / maintain a Public Trust clearance • Bachelor’s degree and 12+ years, Master's degree and 10+ years, or PhD and 7+ 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 a Senior 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 Senior 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. In this position, you will: • Provide guidance and strategic direction on research initiative to ensure they align with FAA requirements and program objectives • Collaborate with leadership, research teams, and external partners to identify research opportunities, develop methodologies, advance innovations, and address complex scientific challenges. • Collaborate with leading experts in government, academia, and industry to address some of the most complex challenges in modern aviation. • Influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). • Contribute to critical research programs at premier facilities such as the William J. Hughes Technical Center, where cutting-edge simulations and testing shape the National Airspace System (NAS). • Bridge research and operational application, ensuring innovative solutions are practical, safe, and ready for deployment across the aviation ecosystem. • Conduct and guide research and development on technologies supporting the NAS, airport infrastructure, and air traffic management. • Provide technical leadership and advisory support to FAA leadership on emerging technologies such as AI, satellite navigation, UAS, and advanced communications. • Lead or contribute to design, testing, and innovation initiatives for next-generation aviation systems. • Prepare technical reports, white papers, and presentations for FAA leadership and external advisory groups. • Participate in special programs related to environmental and energy research. • Oversee or support contractor-led research efforts to ensure alignment with FAA priorities and standards. Why This Role Matters The FAA is the cornerstone of aviation safety and innovation. As global air traffic grows and technology evolves, research scientists and advisors are essential to ensu

A leading research institution is looking for a Senior Autonomous Systems Research Scientist to lead and conduct essential research in AI-enabled systems, addressing complex challenges in mission-critical environments. The ideal candidate will have a PhD and significant experience in machine learning and robotics while contributing to interdisciplinary teams. This role requires on-site presence in Arlington, VA, and offers comprehensive benefits including medical insurance, retirement savings, and more. #J-18808-Ljbffr

Our client, a cutting-edge research and development firm at the forefront of Artificial Intelligence, is seeking a brilliant and innovative AI Research Scientist to join their esteemed team in **Washington, D.C., US**. This role is pivotal in advancing the state-of-the-art in AI, focusing on developing novel algorithms and models for complex problem-solving. You will be part of a collaborative environment, working alongside leading experts in machine learning, deep learning, and related fields. The ideal candidate possesses a strong academic background, exceptional research capabilities, and a passion for pushing the boundaries of AI technology. This position offers a unique opportunity to contribute to groundbreaking projects with significant real-world impact. Responsibilities: Conduct original research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. Design, implement, and evaluate novel AI algorithms and models. Collaborate with a team of researchers and engineers to translate research findings into practical applications and prototypes. Publish research results in leading academic conferences and journals. Stay abreast of the latest advancements and trends in the AI and machine learning community. Develop and maintain high-quality, well-documented code for research experiments. Analyze large datasets to identify patterns, extract insights, and train AI models. Contribute to the development of intellectual property and patent applications. Present research findings to both technical and non-technical audiences. Mentor junior researchers and interns. Participate in defining the future research roadmap for the organization. Explore emerging AI technologies and their potential applications. Develop robust evaluation methodologies for AI systems. Engage with the broader AI research community through workshops and collaborations. Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. A strong publication record in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL). Proven expertise in one or more subfields of AI/ML, such as deep learning frameworks (TensorFlow, PyTorch), NLP, computer vision, or reinforcement learning. Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., NumPy, SciPy, scikit-learn). Experience with large-scale data processing and distributed computing environments. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills, with the ability to articulate complex research ideas effectively. Ability to work independently and lead research projects. Passion for scientific inquiry and a drive to make significant contributions to the field of AI. Experience in a collaborative research environment. Must be authorized to work in the **Washington, D.C., US** area. This is an exceptional opportunity to shape the future of AI. Our client is committed to fostering an environment of innovation and discovery in **Washington, D.C., US**.

A leading technology company is seeking a candidate to join their AI Knowledge team, focusing on advancing recommendation systems through large language models and generative AI. Responsibilities include conducting innovative research, contributing to experimental designs, and helping identify long-term research goals. The ideal candidate should have a Bachelor’s degree in a relevant field, experience in generative AI, and strong programming skills. A competitive compensation package includes a salary range of $154,000 to $217,000 yearly, plus additional benefits.

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you. Role Summary Owns product area focused on applied AI and automation capabilities embedded across external, client-facing digital platforms for sponsors, advisors, and participants. Establishes and maintains a long-term, sequenced product roadmap that delivers near-term client value while expanding intelligence, personalization, and capability over time, in partnership and alignment with the firm’s enterprise AI strategy. Leads complex, cross-functional initiatives across B2B and B2C experiences, including AI-powered virtual assistants, conversational analytics, and intelligent reporting. Owns outcomes end-to-end, from initial definition and compliant launch through expansion and optimization. Operates with clear decision ownership, accountability for results, and disciplined execution. Responsibilities Product Vision and Strategy: • Defines and owns the product vision and roadmap for applied AI capabilities across sponsor, advisor, and participant digital experiences. • Partners with the enterprise GenAI team to align product strategy and roadmap with firmwide AI priorities, shared capabilities, and related business unit initiatives. • Translates enterprise strategy into actionable delivery plans that modernize external digital experiences and strengthen competitive differentiation. • Sequences delivery to balance client value, regulatory readiness, and long-term scalability. • Anticipates shifts in AI capabilities, user expectations, and market offerings and adjusts direction accordingly. Client-Facing Digital Experience Ownership: • Leads AI-driven experience enhancements that simplify complex retirement information and surface relevant insights. • Ensures early releases focus on compliant guidance and decision support, with later releases introducing deeper personalization and proactive insights. • Partners with Product Design and UX to embed AI responsibly into front-end digital tools. • Positions AI-enabled tools as primary digital interfaces where appropriate. Execution and Adoption: • Drives results through clear ownership, prioritization, and disciplined execution across cross-functional teams. • Establishes success metrics tied to adoption, engagement, satisfaction, efficiency, and risk. • Monitors performance and adjusts scope and sequencing to ensure sustained value. Governance and Portfolio Oversight: • Manages a portfolio of AI initiatives and vendor relationships, making informed tradeoffs across scope, timing, and investment. • Coordinates with the enterprise GenAI team and other business units to ensure applied AI capabilities align with firm standards, shared services, and cross-BU investments. • Partners with compliance, risk, and security teams to ensure solutions meet governance and regulatory standards. • Ensures AI capabilities are delivered in alignment with enterprise policies as functionality and scale evolve. • Builds alignment across product, design, engineering, data, and operations to support compliant and sustainable delivery. Qualifications Required: • Bachelor’s degree or equivalent combination of education and experience. • 8+ years of experience in product management, product ownership, or closely related roles delivering complex digital products at enterprise scale. • Proven experience leading cross-functional initiatives across business, technology, data, and risk, with accountability for outcomes. • Ability to translate business strategy and client needs into prioritized product roadmaps and executable delivery plans. • Strong analytical and problem-solving skills, with comfort making tradeoffs in ambiguous, regulated environments. • Working knowledge of modern AI technologies, including generative AI and large language models, and their practical business applications. • Experience driving adoption of new digital capabilities through clear value propositions, performance metrics, and iterative delivery. • Strong commu

A leading IoT technology company is looking for a Principal Product Manager to be the Strategic Owner of the Reporting Platform. In this role, you'll define the product roadmap, drive the incorporation of AI/ML tools, and guide cross-product data analysis. With over 10 years of experience, especially in product management, you will influence executive decisions and ensure customer needs are met. The company values diverse backgrounds and provides an inclusive work environment. #J-18808-Ljbffr

Position: Lead AI Product Manager - GenAI for Investigations A leading digital investigation solutions provider is seeking an experienced Product Manager for its AI Innovation Center. The role involves bridging AI research with real-world investigative tools and owning the lifecycle of AI products. Candidates should have at least 6 years of product management experience, a technical background, and knowledge of AI capabilities, particularly in law enforcement. The position is based in Tysons, Virginia, and contributes to enhancing digital investigations to protect communities. #J-18808-Ljbffr