Real job — pulled straight from Mistral AI’s careers page · Verified June 18, 2026 · No reposts.
Job description
Mistral AI is hiring a Research Engineer, Data Infrastructure — a full-time, remote role. Apply directly on Mistral AI's careers page below.
Research Engineer, Data Infrastructure
Team: Research
Location: Paris, London, Zurich, Warsaw
Commitment: Full-time
Workplace Type: hybrid
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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.
- 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 orders of magnitude while remaining reliable and efficient.
You might thrive in this role if you:
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Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
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Have experience or a strong interest in supporting foundational compute and storage platforms.
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Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards.
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Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments.
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Take pride in building and operating scalable, reliable, and secure systems from the ground up.
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Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.
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Frequently asked questions
Is Research Engineer, Data Infrastructure at Mistral AI a remote job?
Yes, Research Engineer, Data Infrastructure at Mistral AI is a remote position. Candidates in Paris, London, Zurich, Warsaw may be preferred.
What skills are required for Research Engineer, Data Infrastructure at Mistral AI?
The required skills for Research Engineer, Data Infrastructure at Mistral AI include: Python, Kubernetes, MLOps, Cloud Computing, SQL.
What is the seniority level for Research Engineer, Data Infrastructure at Mistral AI?
Research Engineer, Data Infrastructure at Mistral AI is a Mid Level / Senior level position.
How do I apply for Research Engineer, Data Infrastructure at Mistral AI?
You can view the full description and apply for Research Engineer, Data Infrastructure at Mistral AI on EchoJobs: https://echojobs.io/job/mistral-ai-research-engineer-data-infrastructure-zdx66.