Mistral

Research Software Engineer at Mistral (Paris, France)

Mistral· Paris, France·

Role details

Employment
Full-Time
Skills
PythonC++RustGoJavaKubernetesSLURMContainer orchestrationCI/CDSystems programmingML workloadsData-processing pipelines
Benefits

Competitive Cash Salary · Equity · Daily Lunch Vouchers · Monthly Contribution To Gympass Subscription · Monthly Contribution To Mobility Pass · Full Health Insurance For You And Your Family · Generous Parental Leave Policy · Visa Sponsorship

Mistral at a glance

A French AI lab building open and frontier-grade large language models, with the full developer and enterprise stack around them.

Mistral is a French AI lab that builds open and frontier-grade large language models and sells the full stack around them: developer tooling, an agent studio, consumer and enterprise apps like Le Chat and Vibe, custom model training, and its own GPU compute. Its edge is deployment control, with open weights, EU hosting, and self-hosting for regulated and sovereign buyers.

$3B+ raised · latest: Series C · 1.7B euros · Sept 2025 · backed by ASML, Nvidia, Andreessen Horowitz, DST Global

Summary

Design and harden codebases, tools, and distributed services to support training and shipping frontier-scale AI models. Build shared dev-tools, evaluation pipelines, and cluster tooling while ensuring robust, scalable systems.

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 app.notion.com

PRIVACY POLICY

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy legal.mistral.ai

Why work at Mistral

  • Culture: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
  • Remote/Hybrid/Office: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
  • Notable perks and benefits (from careers page):
    • 20 weeks paid parental leave for all birthing parents.
    • 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
    • 6% 401k match (US) / 5% pension contribution (UK).
    • Childcare support (reserved daycare seats or financial assistance).
    • Meal allowances and transportation support.
    • Fitness and wellness subsidies.
    • Relocation and settling-in services.
    • Financial and career planning support.
  • Team composition: 900+ employees from 30+ nationalities; 50% female leaders.
  • Interview process: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.

Application questions