Mistral AI · Foundation models
Applied Scientist - Research Engineer (Formal Methods), EMEA
- London, +1 more: Paris
- Full-time
AI roleMachine LearningTrains models
Still open on Mistral AI's site · checked 3 hours ago
- Posted
- Visa & relocation
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See all jobs with visa or relocation supportIn the job ad:
“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.”
What you'll do
As written by Mistral AI · Read the original
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.
Requirements
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.
Skills
Stack
- Python
- PyTorch
- JAX
Working languages
English
Salary & benefits
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.
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.