Research Engineer - Eval Platform
Mistral AI · Paris
CHECKED 9H AGO
Frontier labonsite
At a glance
Highlights
- Build the eval platform every science team relies on to measure quality.
- Keep eval results reproducible and comparable as models and code evolve.
- Make eval results easy to access, explore and trust for researchers daily.
What they offer
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
Ideal candidate
A low-ego, collaborative self-starter with a product mindset who cares deeply about what scores mean and when differences are real to guide research decisions.
Requirements
- Master's or PhD in Computer Science, or equivalent experience
- 4+ years building production-grade software, ideally large-scale ML codebases or distributed systems
- Excellent Python and strong software-design instincts including testing, code review and CI/CD
- Experience running workloads on GPU clusters (Slurm, Kubernetes, Ray or similar)
- Familiarity with LLM inference and evaluation
- Product mindset with researchers as users
- Self-starter, low-ego and collaborative
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