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Research Engineer, Machine Learning

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Mistral AI

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Research Engineer, Machine Learning

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Mistral AIAt 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.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. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. About The Research Engineering TeamThe team spans

Platform

(shared infra and clean code) and

Embedded (inside research squads). As a Research Engineer ML track, youll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, youll either join:Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, ) and turn fresh ideas into repeatable, scalable codeParis / London (hybrid) or remote EU/UK with one hub day per month.Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust toolsInterface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIsConduct 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 PythonDeliver prototypes that become production-grade components for Le Chat and our enterprise APIMasters or PhD in Computer Science (or equivalent proven track record)-4 + years working on large-scale ML codebases- comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s)- bonus for CUDA or data-pipeline chops- Strong software-design instincts: testing, code review, CI/CD- Competitive cash salary and equityFood: Daily lunch vouchersHealth: Full health insurance for you and your familyGenerous parental leave policyVisa sponsorshipCompetitive cash salary and equityTransportation: Reimburse office parking charges, or 90 per month for public transportSport: 90 per month reimbursement for gym membershipMeal voucher: 200 monthly allowance for mealsPension plan: Employment type

Full-time

Job function

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