Research Engineer Data Infrastructure
Paris-based AI company building frontier models, AI applications, developer tools, and compute infrastructure for enterprise and public-sector deployments.
About Mistral AI
Mistral AI develops open-weight and commercial language models and provides a full-stack AI platform spanning agents, application development, custom-model training, APIs, and AI cloud infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate large-scale data infrastructure for training and fine-tuning. You will scale compute and storage platforms, architect multi-cluster orchestration and modern storage systems, and develop internal training-platform capabilities across Kubernetes and SLURM environments. You will implement metadata and lineage systems, manage cloud-native deployments, and participate in on-call support for critical training jobs.
Requirements
- 4+ years of data infrastructure, MLOps, or infrastructure engineering experience
- Python
- Columnar storage
- Kubernetes
- Distributed systems
- Compute platforms
- Storage platforms
Responsibilities
- Build and scale distributed compute and storage systems
- Architect and maintain multi-cluster orchestration layers
- Design modern storage systems for fine-tuning datasets
- Develop the internal training platform across Kubernetes and SLURM environments
- Implement metadata and lineage systems
- Manage cloud-native deployments for a reliable and scalable data platform
- Participate in on-call rotations for critical training jobs
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances