Research Engineer, Data Infrastructure
Mistral AI · Palo Alto · San Francisco
CHECKED 11H AGO
Frontier labremotemid-level
At a glance
Highlights
- Build and operate next-gen data infrastructure for frontier AI models.
- Scale big data compute and storage platforms toward exabyte growth.
- Architect multi-cluster orchestration to optimize workload placement globally.
What they offer
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
Ideal candidate
Low-ego, collaborative engineer energized by building high-scale infrastructure from scratch and ensuring reliable data access for research in a fast-moving AI environment.
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 focus on modern, columnar storage standards
- Well-versed in Kubernetes-native tooling and large-scale distributed systems
- Track record building and operating scalable, reliable, and secure systems
- Comfortable with ambiguity in rapid-growth AI environment
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