Senior AI Scientist

<div><span style="font-size: 18px;"><strong>Join Pigment: The AI Platform Redefining Business Planning</strong></span></div> <div>&nbsp;</div> <div><span style="font-size: 15px;">Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team - from Finance to HR - to build, adapt, and align strategic plans in real time.</span></div> <div>&nbsp;</div> <div><span style="font-size: 15px;">Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Uber, Anthropic, Snowflake or Siemens, use Pigment daily to make more informed decisions and confidently navigate any scenario.</span></div> <div>&nbsp;</div> <div><span style="font-size: 15px;">With a team of 700+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.</span></div> <div>&nbsp;</div> <div><span style="font-size: 15px;">At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo - all while working as one team. If you're driven by innovation and ready to make an impact at scale, we’d love to hear from you.</span></div><div><br></div><div>Pigment is seeking an experienced AI Scientist with a strong CS background and experience with GenAI and Agentic Architectures to join our innovative and fast-paced team. In this role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from you!</div> <div>&nbsp;</div> <div><strong>What you will do :</strong></div> <div>&nbsp;</div> <div>- Work on AI features built on top of the Pigment computation engine that provides determinism, auditability and data visualizations</div> <div>- Work on AI features with an ambitious product vision, that are actively used, have a real world impact and are built to last</div> <div>- Programming on a production python codebase. Our Scientists are encouraged to contribute to production features to ensure they can follow their experiments from ideation to production</div> <div>- Conduct experiments and benchmarking to assess the performance of various models and architectures</div> <div>- Continuously research and stay up-to-date with recent advancements in agentic architecture, NLP and large language models, applying novel techniques and methodologies to improve our features.</div> <div>&nbsp;</div> <div>🎧<a rel="noopener noreferrer" href="https://podcasts.apple.com/dk/podcast/196-pigment-monter-l%C3%A9quipe-genai-appliqu%C3%A9e-au-produit/id1539383194?i=1000703455136" class="postings-link">Listen to our podcast on Pigment’s GenAI team</a></div> <div>📖<a rel="noopener noreferrer" href="https://engineering.pigment.com/2024/10/31/agentic-ai-for-data-analysis/" class="postings-link">Read more about our vision: Agentic AI for Data Analysis</a></div><br><strong>Requirements</strong><br> <li>MS or Ph.D. in Computer Science, Mathematics, or a related field</li> <li>Strong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn)</li> <li>Hands-on experience evaluating pre-trained models, and fine tuning or training models</li> <li>Experience in the recent developments of Agentic Architecture&nbsp;</li> <li>Excellent problem-solving skills and ability to work independently</li> <li>Ability to communicate complex mathematical and AI concepts clearly and effectively across research, engineering, and product audiences</li> <li>If you are passionate about Generative AI and want to work on a cutting-edge business planning platform, we encourage you to apply for this exciting opportunity at Pigment.</li> <li>Experience building and shipping complex products on top of LLMs</li> <li>Experience with LLM or deep-learning–based tabular data understanding, including methods for interpreting complex spreadsheets, schema inference or table representation learning (e.g., TAPAS, TaBERT, TURL, and more generally Omniparser-like approaches)</li> <li>Knowledge of state-of-the-art deep learning forecasting models (e.g., TimesFM, Chronos, TOTO, or any other recent foundation models for time series prediction)</li> <div> <div>#LI-HYBRID</div> <div>#LI-LS1</div> </div><br><strong>What you will get</strong><br> <li>Competitive package</li> <li>Stock options to ensure you have a stake in Pigment's growth</li> <li>The best health insurance with Alan Blue entirely free for you and your family&nbsp;</li> <li>Weekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility</li> <li>Subscription to Egym Wellpass (ex-Gyml