Research Engineer, Data Infrastructure
Mistral AI · Paris · Zurich · Warsaw · London
CHECKED 10H AGO
Frontier labremotesenior
At a glance
Highlights
- Architect the backbone powering frontier model training and fine-tuning.
- Operate massive global compute fleets with multi-region orchestration.
- Build data lakes and metadata systems toward exabyte-scale architecture.
What they offer
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
Ideal candidate
Builder who thrives in ambiguity and owns reliable systems end-to-end, passionate about powering frontier AI research with durable, large-scale infrastructure.
Requirements
- 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering
- Experience or strong interest in supporting foundational compute and storage platforms
- Proficient in Python with modern, columnar storage standards
- Well-versed in Kubernetes-native tooling and large-scale distributed systems across multi-cluster environments
- Track record building and operating scalable, reliable, and secure systems from the ground up
- Comfortable with ambiguity building high-scale infrastructure in a rapid-growth AI environment
- remote policy
- Hybrid in Paris, London, Warsaw, Zurich; remote in France, UK, Poland, Switzerland with monthly hub visits
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