Senior AI Scientist

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Pigment

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€70K - €140K/yr

AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

Join Pigment: The AI Platform Redefining Business Planning

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.

Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.

With a team of 500+ 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.

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.

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 in generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from you.

What you will do:

  • 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

Nice to have:

  • 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)

What you will get:

  • 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
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