Applied Scientist - Research Engineer (Formal Methods), EMEA

Mistral; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Job summary

Mistral AI seeks Applied Scientists and Research Engineers focused on formal methods to design, train, and deploy state-of-the-art language models. You will work with internal and external science, engineering, and product teams to deliver high-impact AI solutions.

You’ll run training pipelines, build data generation tools, and contribute to a large codebase while collaborating across disciplines to solve complex use cases and communicate research progress to client teams.

Qualifications

• Fluent in English and able to explain complex concepts to varied audiences.
• Expert with PyTorch or JAX and large language models.
• Able to navigate a big codebase with minimal guidance.
• Writes clean, high-performance Python code.
• Works well independently in uncertain environments.
• Low-ego, collaborative, eager to learn.
• Proven track record from projects or academia.

Responsibilities

• Run pre-training, post-training and deploy state-of-the-art models on large clusters.
• Generate and curate datasets for formal methods, and build evaluators and benchmarks.
• Develop tools 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

English communication

Python development

Independent work

Collaboration

Proven track record

Education

PhD / Master in CS/Math/ML

Tools

PyTorch

JAX

Job description

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

Mistral AI is seeking Applied Scientists and Research Engineers focused on formal methods. You will design, train, and deploy SOTA large language models and apply them to diverse use cases.

You’ll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions.

What You Will Do

• Run pre-training, post-training and deploy state of the art models on large clusters.

• Generate and curate datasets for theorem proving and software verification, and build evaluators and benchmarks for formal reasoning.

• 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.

What We’re Looking For

• Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.

• Expert with PyTorch or JAX.

• Not afraid of contributing to a big codebase; finds their way around independently with little guidance.

• Writes clean, readable, high-performance, fault-tolerant Python code.

• Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.

• Low-ego, collaborative and eager to learn.

• Track record of success through personal projects, professional projects or academia.

Nice to have

• PhD / Master in a relevant field (Computer Science, Mathematics, Machine Learning).

• Experience with autoformalization, proof automation, or verified code generation.

• Experience with reinforcement learning using verifiable rewards, ideally from Lean or other proof assistants.

• Contributions to a large open-source or industry codebase.

• Publications in top academic journals or conferences.

• Enjoys improving existing code: typing, tests, CI pipelines.

What We Offer

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.

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