Tabular AI Scientist & Research Engineer (LLMs)

Mistral; Paris; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Healthcare coverage

Relocation support

Meal and transportation allowances

Parental leave

Job summary

Mistral AI is seeking Applied Scientists and Research Engineers focused on tabular data. You will design, train, and deploy SOTA models that understand, query, and reason over structured data, and apply them to diverse use cases.

Working cross-functionally with external and internal science, engineering, and product teams you will deliver high-impact AI solutions, joining researchers, engineers, and product builders tackling complex real-world problems at scale.

Qualifications

• Fluent in English with excellent communication skills.
• Expert with PyTorch or JAX.
• Experience training or fine-tuning large language models, or tabular foundation models (e.g. TabPFN).
• Strong background in machine learning on tabular data, including classical baselines (e.g. gradient boosting), and comfortable with SQL, pandas, and messy real-world data.
• Not afraid of contributing to a big codebase; writes clean, readable, high-performance Python code.

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.

Skills

PyTorch

JAX

SQL

Pandas

Python

LLM training

Table data ML

Education

PhD / Master in CS/Statistics

Tools

Git

CI pipelines

Job description

Mistral AI is seeking Applied Scientists and Research Engineers focused on tabular data. You will design, train, and deploy SOTA models that understand, query, and reason over structured data, and apply them to diverse use cases.

Working cross-functionally with external and internal science, engineering, and product teams you will deliver high-impact AI solutions, joining researchers, engineers, and product builders tackling complex real-world problems at scale.