Mistral AI
Research Engineer, Data Infrastructure
Palo Alto +1 · Hybrid · Full-time · Posted Jul 10, 2026
- Location
- Palo Alto
San Francisco - Experience
- 4+ years in Data Infrastructure, MLOps, or Infrastructure Engineering.
About the job
Build and operate scalable compute, storage, and data infrastructure supporting Mistral AI’s training and fine-tuning workloads.
What you'll do
- Design and maintain multi-cluster orchestration to place workloads across hardware and regions.
- Develop storage formats, metadata, and lineage systems for large-scale data and model pipelines.
- Build and operate the training platform across Kubernetes and SLURM, including reliable cloud-native deployments and on-call support.
What they ask for
- 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
- Proficiency in Python.
- Experience or strong interest in supporting compute and storage platforms.
- Familiarity with Kubernetes-native tooling and debugging large-scale distributed systems across multi-cluster environments.
Tools
Python, Kubernetes, SLURM
AI focus
Supports MLOps and research by building infrastructure for model training and fine-tuning.
Model-written summary · the original posting is authoritative