Applied Scientist (Tabular Data, EMEA)

Location: Hybrid in Paris, with other locations in Amsterdam, London, and Lausanne

Company

Mistral AI provides full-stack AI solutions, including frontier models, developer tools, applications, and compute, for customized systems across high-stakes industries.

What you will do

• Run pre-training, post-training, and deployment of state-of-the-art models on clusters with thousands of GPUs.
• Generate and curate datasets of tables, spreadsheets, and databases.
• Build evaluators and benchmarks for table understanding, text-to-SQL, and tabular prediction.
• Develop tools and frameworks for data generation, model training, evaluation, and deployment.
• Collaborate with internal and external science, engineering, and product teams on complex use cases.
• Manage research projects and communications with client research teams.

Requirements

• Fluent English with excellent communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
• Expertise with PyTorch or JAX.
• Experience training or fine-tuning large language models or tabular foundation models such as TabPFN.
• Strong machine learning background in tabular data, including classical baselines such as gradient boosting, with comfort using SQL, pandas, and messy real-world data.
• Ability to contribute independently to a large codebase with little guidance.
• Ability to write clean, readable, high-performance, fault-tolerant Python code.
• Independent approach to navigating uncertainty, with a low-ego, collaborative, and learning-oriented working style.
• Track record of success through personal projects, professional projects, or academia.

Nice to have

• Experience as an ex-founder or builder.
• PhD or Master’s degree in Computer Science, Statistics, Machine Learning, or a relevant field; exceptional candidates from other backgrounds are welcome.
• Experience with text-to-SQL, table question answering, or spreadsheet agents.
• Experience with reinforcement learning using verifiable rewards, such as query execution.
• Experience working with large codebases or large machine learning models at scale.
• Contributions to a large open-source or industry codebase.
• Publications in top academic journals or conferences.
• Experience improving existing code through typing, tests, and CI pipelines.

Culture & Benefits

• Collaborative, creative, low-ego, team-oriented environment.
• Work with distributed teams across Europe, North America, Asia, and the Middle East.
• Benefits may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, and meal and transportation allowances, depending on the country.
• Full-time employment with location-specific benefits.