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Research Engineer, Data Infrastructure

Mistral AIParisScience
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
10 Jul 2026
Status
Open · checked 8d ago

About this role

Role Overview

The Research Engineer, Data Infrastructure role at Mistral AI involves building and operating the next-generation data infrastructure that powers frontier AI model training and fine-tuning. Based in Paris or available as remote within the EU and UK with monthly hub visits, this position suits experienced engineers who thrive in fast-paced, collaborative environments and are passionate about advancing global AI systems.

Key Responsibilities

Build and scale massive distributed compute and storage systems to reach production milestones.
Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and geographical regions.
Design future-proof storage by transitioning to modern storage formats capable of handling fine-tuning datasets heading toward exabyte growth.
Contribute to internal training platform development, ensuring smooth model training and fine-tuning across Kubernetes and SLURM environments.
Implement and manage systems providing clear visibility and lineage for complex data and model pipelines.
Maintain operational excellence through modern deployment workflows, ensuring cloud-native data platforms scale reliably and efficiently.
Take full lifecycle ownership, from migrating away from legacy orchestrators to building production pipelines and participating in on-call rotations for critical training jobs.

Requirements

Bring at least 4 years of professional experience in Data Infrastructure, Infrastructure Engineering, or MLOps.
Demonstrate experience or a strong interest in supporting foundational compute and storage platforms.
Show proficiency in Python and a desire to solve complex data lake challenges using modern columnar storage standards.
Possess strong knowledge of Kubernetes-native tooling and enthusiasm for debugging large-scale distributed systems across multi-cluster setups.
Take pride in creating scalable, reliable, and secure systems from inception.
Feel comfortable navigating ambiguity and the scaling challenges of a high-growth artificial intelligence organization.
Reside in or be willing to relocate to Paris, London, Warsaw, or Zurich, or qualify for approved remote options in France, the UK, Poland, or Switzerland with mandatory monthly hub visits.

Skills and Tools

Python
Kubernetes
MLOps
SLURM
Modern Columnar Storage Standards
Multi-Cluster Orchestration Tooling

About the Company

Mistral AI delivers full-stack artificial intelligence solutions, ranging from frontier models and developer tools to custom applications and enterprise compute. The company collaborates with global enterprises across regulated and high-stakes sectors like finance, manufacturing, healthcare, defense, and the public sector to deploy customized AI systems. Operating as a dynamic, low-ego, and team-spirited workforce, Mistral AI maintains distributed teams across Europe, North America, Asia, and the Middle East.

How to Apply

Interested candidates should visit the official Mistral AI careers page to submit their application for this position.

Skills and tech stack

PythonKubernetesMLOps

Questions candidates ask

What locations are available for this position?

The role is primarily based out of European offices in Paris, Warsaw, Zurich, or London on a hybrid schedule. Remote candidates are also considered if based in France, the UK, Poland, or Switzerland, provided they attend monthly hub visits.

How much experience is required to apply?

Applicants must have 4 or more years of professional experience in Data Infrastructure, MLOps, or Infrastructure Engineering.

What technical skills are necessary for the role?

Candidates need strong proficiency in Python, experience with Kubernetes-native tooling, and familiarity with distributed systems, large-scale storage standards, and multi-cluster orchestration.

What are the primary responsibilities of a Research Engineer in Data Infrastructure?

Responsibilities include scaling distributed compute systems, designing future-proof storage formats for exabyte-scale growth, building multi-cluster orchestration layers, managing data lineage, and ensuring platform reliability for AI model training.

What travel or office visits are expected for remote workers?

Remote hires must attend the first week of onboarding in-person with travel and accommodation covered, followed by at least 3 days of hub visits per month.

Ready to apply?

The application is on the official Mistral AI careers page.

Apply on company site