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. Note: This description excludes non-job content such as general promotional language not directly describing the role. 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 to 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 join one of two tracks: Platform Research Engineer Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team. Embedded Research Engineer Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety, etc.) 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 70B+ models, 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 (5% Employee, 3% Employer)
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Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw • Paris, Île-de-France, France
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