Senior AI Scientist

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!

Responsibilities

Work on AI features built on top of the Pigment computation engine that provides determinism, auditability and data visualizations; Work on AI features with an ambitious product vision, that are actively used, have a real world impact and are built to last; 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; Conduct experiments and benchmarking to assess the performance of various models and architectures; 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.

Requirements

MS or Ph.D. in Computer Science, Mathematics, or a related field; Strong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn); Hands-on experience evaluating pre-trained models, and fine tuning or training models; Experience in the recent developments of Agentic Architecture; Excellent problem-solving skills and ability to work independently; Ability to communicate complex mathematical and AI concepts clearly and effectively across research, engineering, and product audiences; Experience building and shipping complex products on top of LLMs; 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); 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)

Benefits

Competitive package; Stock options to ensure you have a stake in Pigment's growth; The best health insurance with Alan Blue entirely free for you and your family; Weekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility; Subscription to Egym Wellpass (ex-Gymlib) for full access to gyms, studios, and wellness spaces across France; Trust and flexible working hours; Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, San Francisco, Toronto, Paris, and London; High-end equipment (based on stock/availability) to do your work in the best conditions; Remote-friendly environment