{"id":201984,"url":"https://alion.io/job/mistral-ai-research-engineer-forge","title":"Research Engineer, Forge","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":198,"ghost_share":0,"stale_share":0.005,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France","Amsterdam, Netherlands","Singapore","London, United Kingdom","Lausanne, Switzerland"],"countries":["FR","NL","SG","GB","CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":123000,"period":"year","method":"role_country_seniority_unknown","sample_n":114},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"JAX","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LLM","optional":false},{"name":"Mistral","optional":false},{"name":"Model Distillation","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SFT","optional":false},{"name":"Synthetic Data","optional":false},{"name":"DeepSpeed","optional":true},{"name":"FSDP","optional":true},{"name":"Karpenter","optional":true},{"name":"Kubernetes","optional":true},{"name":"Megatron-LM","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Pre-training","optional":true},{"name":"Ray","optional":true},{"name":"SkyPilot","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-09-04T13:52:37Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-25T17:38:34Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":50},"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.\nRole summary\nAs a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end-to-end across model adaptation and post-training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints.\nThis role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer-facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others.\nInterview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply.\nWhat you will do\nBuild and improve post-training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”.\n\nDevelop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.\n\nDebug and harden large-scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility.\n\nImprove the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions.\n\nPush the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post-training systems at frontier-model scale)\n\nMake sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …)\n\nPartner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements.\n\nAbout you\nStrong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership).\n\nHands-on experience with PyTorch, JAX, or similar.\n\nStrong systems and infrastructure fundamentals.\n\nExperience with LLM training or post-training: fine-tuning, RL, distillation, evaluation, and/or data pipelines.\n\nExcellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures).\n\nClear communication with technical and non-technical stakeholders.\n\nHigh agency, low ego, and comfort in fast-moving, under-specified environments.\n\nNice to have\nDistributed training experience (FSDP, DeepSpeed, Megatron, etc.).\n\nCluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.).\n\nExperience building reliable ML infrastructure, evaluation systems, or large-scale data processing pipelines.\n\nResearch experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation.\n\nOpen-source contributions, publications, or widely used internal tooling.\n\nExperience training multi-billion-parameter models (pre-training or RL). Experience training on petabyte- and exabyte-scale datasets.\n\nAbility to identify bottlenecks across the stack and drive improvements from first principles.\n\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. You can learn more about how we handle your personal data in our Applicant Privacy Policy.","description_format":"text","description_chars":4153,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave","Retirement plans","Wellness"],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Netherlands","iso":"NL","kind":"country"},{"name":"Switzerland","iso":"CH","kind":"country"},{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["LLM & Generative AI","Code Intelligence","Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-09-04T16:25:16Z"}],"visa":[],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":1,"p_active":0.743,"p_room":0.6,"age_days":50,"expected_fill_days":65,"reasons":["conf:3","velocity","win:late","crowd:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/mistral-ai-research-engineer-forge","json_url":"https://alion.io/job/mistral-ai-research-engineer-forge.json","meta":{"generated_at":"2026-10-25T20:58:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":29593,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":22},"rest":"https://alion.io/mcp/rest/get_company?id=22"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmistral-ai-research-engineer-forge"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmistral-ai-research-engineer-forge"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmistral-ai-research-engineer-forge"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mistral-ai-research-engineer-forge\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmistral-ai-research-engineer-forge"}]}