Research Engineer, Machine Learning

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

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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 researchproduction 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, …) and turn fresh ideas into repeatable, scalable code

Location:
Paris / London (hybrid) or remote from EU/UK

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)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.