- Salary
- €70k – €140k/yr
- Location
- France
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Tech
- Seniority
- Senior
- Education
- PhD
- Source
- Lever
Description
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, San Francisco, and Toronto, 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 Large Language Models (LLM) to join our innovative and fast-paced team. In this role, you will work on cutting-edge NLP projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a strong background in 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 NLP and large language models, applying novel techniques and methodologies to improve our features.
Skills
PythonMachine LearningDeep LearningNLPTensorFlowPyTorchScikit-learnSnowflake