{"id":163485,"url":"https://alion.io/job/mistral-ai-research-engineer-machine-learning-2","title":"Research Engineer, Machine Learning","company":{"id":22,"name":"Mistral AI","domain":"mistral.ai","url":"https://alion.io/company/mistral-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":209,"ghost_share":0,"stale_share":0.005,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France","Zurich, Switzerland","Warsaw, Poland","London, United Kingdom"],"countries":["FR","CH","PL","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":124000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Accelerate","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"DeepSpeed","optional":false},{"name":"FSDP","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SLURM","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-07-02T17:48:59Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-17T03:24:27Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":105},"description":"About Mistral\nMistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.\nWe 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.\nAbout the Research Engineering team\nThe 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.\nAs 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:\n- Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or\n- Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code.\nWhat You Will Do\nAccelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.\nInterface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.\nDesign, implement and benchmark ML algorithms; write clear, efficient code in Python.\nDeliver prototypes that become production-grade components for Vibe and our enterprise API.\nWhat We're Looking For\nMaster’s or PhD in Computer Science (or equivalent proven track record).\n4 + years working on large-scale ML codebases.\nHands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).\nExperience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.\nStrong software-design instincts: testing, code review, CI/CD.\nSelf-starter, low-ego, collaborative.\nWhat We Offer\nWe offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.\nFor the most up-to-date details on benefits available in your location, please refer to our Benefits page.\nPrivacy Policy\nYour privacy matters to us. 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