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AI Job Summary

Design and maintain the infrastructure, tools, and distributed services that enable model training and deployment at scale. You'll own large-scale pipelines, build internal tooling, and optimize Kubernetes and SLURM clusters handling thousands of GPUs. This role requires a Master's in Computer Science or equivalent, four-plus years building distributed systems, strong Python skills plus C++, Rust, Go, or Java, and hands-on experience with container orchestration. Based in Paris, Warsaw, Zurich, or London (hybrid), with remote EU/UK options requiring monthly office visits.

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Job Description

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

Role Summary

 

As a Research Engineer on the software side, you will design and harden the codebase, tools and distributed services that let our scientists train and ship frontier-scale models. You do not need prior ML experience; what matters is writing clean, reliable code that scales.

 

You will join our Research Software Engineering team to build and maintain shared dev-tools, evaluation & data pipelines, training framework, cluster tooling and CI/CD.

 

Location: Paris / Warsaw / Zurich / London (hybrid) or remote EU/UK with one hub visit per month.

What will you do

 

• Accelerate researchers by owning the complex parts of large-scale pipelines and delivering robust internal tooling.

• Interface research with product: expose clean APIs, automate model pushes, surface live metrics.

• Write efficient, well-tested Python and systems code; enforce code review, CI, and observability.

• Design and optimise distributed services (Kubernetes / SLURM, thousands-of-GPU jobs).

• Prototype utilities (CLI, dashboards) and carry them through to stable, shared libraries.

 

About the Research Engineering team

Based in Paris and London, our REs move fluidly along the research ↔ production spectrum. Engineers can rotate between Platform and Embedded tracks as their interests evolve.

 

About you

 

• Master’s in Computer Science (or equivalent experience).

• 4 + years building and operating large-scale or distributed systems.

• Strong software-design instincts: modular code, tests, CI/CD, observability.

• Fluency in Python plus one systems language (C++, Rust, Go or Java).

• Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar).

• Comfortable profiling performance, optimising I/O, and automating workflows.

• Self-starter, low-ego, collaborative, high-energy.

 

Nice-to-haves

 

• Exposure to ML workloads or data-processing pipelines.

• Experience with GPU clusters or CUDA.

• Open-source contributions or widely used internal tools.

Location and Remote

This role is primarily based at one of our European offices (Paris, Warsaw, Zurich and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office:

• for the first week of their onboarding (accommodation and travelling covered)

• then at least 3 days per month

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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Mistral AI
Foundation Models · 200-500 Members · Paris, France

Mistral AI develops open-weight and commercial large language models, along with Le Chat and a developer platform for building on them.

Founded in Paris in 2023 by researchers from DeepMind and Meta, it is Europe's most prominent frontier-model lab.

All jobs at Mistral AI

Location

France

Job Overview
Job Posted:
1 month ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
3+ years

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