Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw

About Mistral

Mistral AI 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 AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.

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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

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Role Summary 

About the Research Engineering team

The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.

As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:

- Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or

- Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code.

What will you do

• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.

• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.

• Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).

• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.

• Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

About you

• Master’s or PhD in Computer Science (or equivalent proven track record).

• 4 + years working on large-scale ML codebases.

• Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).

• Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.

• Strong software-design instincts: testing, code review, CI/CD.

• Self-starter, low-ego, collaborative.

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  £90 per month for public transport

🥎 Sport:  £90 per month reimbursement for gym membership

🥕 Meal voucher: £200 monthly allowance for meals

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

By applying, you agree to our Applicant Privacy Policy.

What do we offer?

We support our employees’ well-being, growth, and work-life balance, with a range of global benefits designed to meet the diverse needs of our team members worldwide.

Health & Family

• Healthcare Coverage
  100% employer-sponsored premium plans for medical, dental, and vision care for you and your dependents.

• Parental Leave
  20 weeks of paid leave for all primary parents.

• Childcare Support
  Reserved daycare seats or financial assistance for working parents.

Financial & Career Planning

• Retirement Plans
  Competitive employer-matched contributions in applicable markets (e.g., 6% 401k match in the US, 5% pension contribution in the UK) to secure your financial future.

• Relocation Support
  Financial assistance for moving expenses, visa sponsorship, and settling-in services for you and your family.

Daily Life & Wellness

• Meal Allowances
  Monthly stipends, vouchers, or catered in-office meals, depending on your office location.

• Transportation Support
  Monthly allowances for public transport, parking, or sustainable mobility

• Fitness & Wellness
  Subsidies or memberships for gyms, wellness programs, or fitness activities

Privacy Policy

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