Research Engineer, Machine Learning (London)
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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.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, optimised, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet the needs of enterprises, whether on-premises or in cloud environments. Our offerings include Le Chat, the AI assistant for life and work. 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, the USA, the 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 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
- 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
- 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
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Technology, Information and Internet
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#J-18808-Ljbffr- Location:
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- Job Type:
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