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
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
- Onboarding accommodation and travel coverage for eligible remote hires