Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw
AI 엔지니어정규직시니어 · 4년 이상
Mistral AI에서 대규모 머신러닝 파이프라인을 구축하고 최적화할 Research Engineer를 채용합니다. Python 및 PyTorch/JAX 활용 능력과 분산 학습(Distributed Training) 경험이 필수입니다. 연구와 프로덕션 환경을 잇는 핵심 역할을 수행하며, LLM 및 딥러닝 분야의 전문성을 발휘할 수 있습니다. 글로벌 팀과 협업하며 최첨단 AI 모델을 개발할 기회입니다.
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 https://mistral.ai/careers.
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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.
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, Safety …) 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.
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)
By applying, you agree to our Applicant Privacy Policy.