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mistral.ai - Applied Scientist - Research Engineer (Tabular Data), EMEA

Paris2d ago

In Office EMEA Artificial Intelligence Research Engineer Applied Scientist SQL

Requirements

• Ex-founder or builder • PhD / Master in a relevant field (Computer Science, Statistics, Machine Learning) — exceptional candidates from other backgrounds welcome. • Experience with text-to-SQL, table question answering, or spreadsheet agents. • Experience with reinforcement learning using verifiable rewards (e.g. query execution). • Experience working on large code bases or large machine learning models at scale. • Contributions to a large open-source or industry codebase. • Publications in top academic journals or conferences. • Enjoys improving existing code: typing, tests, CI pipelines.

Responsibilities

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

Benefits

• We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. • For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. • Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.