Applied Scientist - Research Engineer (Optimisation), EMEA
Mistral AI · Paris · Amsterdam · London · Lausanne
Frontier labonsite
At a glance
Highlights
- Post-train SOTA large language models to formulate and solve optimisation problems.
- Run pre-training, post-training and deploy models on clusters with thousands of GPUs.
- Deliver high-impact AI solutions for high-stakes industries with client teams.
What they offer
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
Ideal candidate
Low-ego, collaborative builder who thrives in uncertainty and loves tackling complex real-world problems with clients. Motivated by turning cutting-edge research into high-impact deployed AI systems.
Requirements
- Fluent in English with excellent communication skills
- Expert with PyTorch or JAX
- Experience training or fine-tuning large language models for reasoning, code, or mathematics
- Strong background in operational research or mathematical optimisation
- Hands-on experience using solvers and modelling languages
- Able to navigate a large codebase independently with little guidance
- Writes clean, readable, high-performance, fault-tolerant Python code
- Moves independently and navigates uncertainty with confidence
- Low-ego, collaborative and eager to learn
- Track record of success through personal, professional or academic projects
Lab profile
About Mistral AI
Provides full-stack AI solutions from frontier models to tools, applications, and compute.
What they build
- Frontier AI models
- Developer tools
- AI applications
Known for
- Full-stack AI development
- Enterprise co-creation and deployment
- Customizable systems that run on customer terms
- Focus on finance, manufacturing, defense, healthcare and public sector
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