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Mistral AI desarrolla modelos, herramientas e infraestructuras de inteligencia artificial para empresas y administraciones públicas. Sus soluciones responden a sus necesidades de personalización, control de datos y despliegue a gran escala.

Datos sobre Mistral AI
Sector
Software e Internet
Modelo
B2B
Tipo de empresa
Financiada con capital riesgo
Fase
Unicornio
Sede
Paris
Dominio oficial
mistral.ai
Fundación
2023 · 3 años
Valoración publicada
21 Md€Fuente ↗
Financiación total publicada
7,5 Md$Fuente ↗
Última ronda
Series D · 2026-09-08
Importe anunciado
3 482 900 000 $
Ofertas abiertas
187

Inversores mencionados

Detalles de la oferta

La descripción completa publicada por Mistral AI.

Ver la oferta original ↗

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

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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.

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