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senior machine learning engineer ai gpu performance
Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw
NLP PEOPLE
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 Mistral AI participates in the E-Verify program 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. 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) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience)
Mar 03, 2026
Full time
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 Mistral AI participates in the E-Verify program 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. 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) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience)

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