Research Engineer, Data Infrastructure · Mistral AI

Fri, 24 Apr 2026 16:09:08 GMT
Engineering

Mistral AI · Palo Alto · hybrid

About Mistral AI

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

This role focuses on building and operating the next generation of data infrastructure at Mistral AI. You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability. You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research. You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.

Responsibilities

Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems

Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.

Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.

Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments.

Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity.

Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by

About you

Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.

Have experience or a strong interest in supporting foundational compute and storage platforms.

Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards.

Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments.

Take pride in building and operating scalable, reliable, and secure systems from the ground up.

Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.

What we offer

Competitive salary and equity.

Healthcare: Medical/Dental/Vision covered for you and your family.

Pension: 401K (6% matching)

PTO: 18 days

Transportation: Reimburse office parking charges, or $120/month for public transport

Sport: $120/month reimbursement for gym membership

Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)

Visa sponsorship

Coaching: we offer BetterUp coaching on a voluntary basis