Senior AI Scientist
Pigment is hiring a Senior AI Scientist. Level rates it ; you can apply on Pigment.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Tools and skills the posting cites include Anthropic, LangChain and LangGraph.
- Level classifies it as a senior role.
- Level lists 128 other open roles at Pigment.
AI in this role
Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally, passing $100M in ARR in 2026 and doubling revenue for the second year in a row. Industry leaders like Unilever, Uber, Anthropic, Snowflake, and Siemens use Pigment every day to make better-informed decisions and navigate any scenario with confidence.
In October 2026, we raised a $250M Series E at a $2.3B valuation, bringing our total funding to $650M+. Today we’re a growing team of 700+ across Paris, London, New York, Toronto, San Francisco, and Austin, and we’ve been named a Visionary in the Gartner® Magic Quadrant™ for Financial Planning Software two years running.
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 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. 🎧Listen to our podcast on Pigment’s GenAI team 📖Read more about our vision: Agentic AI for Data Analysis
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
- 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.
- 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) #LI-HYBRID #LI-LS1
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
How we rate this
Senior AI Scientist at Pigment rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- What's a project where you used Anthropic hands-on?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Fine-tuning, NLP, Anthropic, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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