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Mistral développe des modèles d’IA, des outils pour développeurs et des applications pour les entreprises et les administrations. Ses solutions permettent de traiter des problèmes complexes tout en gardant le contrôle des données et de l’environnement de production.

Repères sur Mistral AI
Secteur
Logiciels et Internet
Modèle
B2B
Type d’entreprise
Financée par du capital-risque
Stade
Licorne
Siège
Paris
Domaine officiel
mistral.ai
Création
2023 · 3 ans
Valorisation publiée
21 Md€Source ↗
Financement total publié
7,5 Md$Source ↗
Dernière levée
Series D · 2026-09-08
Montant annoncé
3 482 900 000 $
Offres ouvertes
127

Investisseurs mentionnés

Détails de l’offre

La description complète publiée par Mistral AI.

Voir l’offre originale ↗

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. The role As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications.

Your work will directly shape how AI integrates into daily life and enterprise operations. What will you do

  • Research and develop novel methods to push the frontier of large language models
  • Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)
  • Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
  • Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact What We're Looking For
  • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)
  • You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)
  • You have high engineering competence. This means being able to design complex software and make it usable in production
  • You are a self-starter, autonomous and a team player Now, it would be ideal if
  • You have hands-on experience with training large transformer models in a distributed fashion
  • You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment
  • You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity.

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.

Prérequis

  • high engineering competence
  • autonomous
  • team player
  • training large transformer models in a distributed fashion
  • full MLOps stack
  • strong publication record

Avantages mentionnés

  • healthcare coverage
  • parental leave
  • retirement plans
  • relocation support
  • wellness programs
  • meal allowances
  • transportation allowances