AI Scientist - Paris/London - Onsite or Hybrid or Remote

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.

About Mistral

At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.

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, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited.

At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.

Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.

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

About you

*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.

Benefits

France

💰 Competitive cash salary and equity

🥕 Food : Daily lunch vouchers

🥎 Sport : Monthly contribution to a Gympass subscription 

🚴 Transportation : Monthly contribution to a mobility pass

🧑‍⚕️ Health : Full health insurance for you and your family

🍼 Parental : Generous parental leave policy

🌎 Visa sponsorship

UK

💰 Competitive cash salary and equity

🚑 Insurance

🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport

🥎 Sport: 90GBP/month reimbursement for gym membership

🥕 Meal voucher: £200 monthly allowance for its meals

💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

By applying, you agree to our Applicant Privacy Policy.

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.

Privacy Policy

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