About the role
structured by ORIABOUT 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…
What you will 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.
What they are looking for
- 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 have
- Exposure to ML workloads or data-processing pipelines.
- Experience with GPU clusters or CUDA.
- Open-source contributions or widely used internal tools.
Before you apply
- Location requires Paris / Warsaw / Zurich / London (hybrid) or remote EU/UK with one hub visit per month.
- Remote hires must visit a local office for the first week of onboarding and at least 3 days per month thereafter.
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Meal and transportation allowances
Full posting text
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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.