{"id":194894,"url":"https://alion.io/job/ooak-data-ml-engineer","title":"ML engineer","company":{"id":2066,"name":"Ooak Data","domain":"ooakdata.com","url":"https://alion.io/company/ooak-data","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":70000,"max":100000,"currency":"EUR","period":"year","gross":null,"usd_annual":112314},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CloudFormation","optional":false},{"name":"Digital Twin","optional":false},{"name":"GCP","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"vLLM","optional":false},{"name":"Claude","optional":true}],"status":"live","first_seen_at":"2026-09-03T08:40:04Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-22T16:37:31Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"We're ooak data\nThe promise of AI agents is still unmet in complex, real-world business environments. Our mission is to make it possible for agents to reliably accomplish concrete and useful tasks.\nThat’s why we're building Alexandria, the world's largest library of real-world business workflow datasets.\nOver the next 6 months, build our we'll acquire and anonymize 300+ full data ecosystems from real-world companies. This will allow us to\nbecome the leader of real business workflow data\nbe in the best position to launch our own data research lab in early 2027, enabling new services that help companies around the world automate their workflows with AI\nThis summer we need to build our elite squad to move extremely fast and confirm our leading position on company data.\nOur values\nTrust - the foundation of every relationship, internal and external. We extend it by default and value the ownership that comes with it.\n\nAmbition - we commit, we move fast, with tenacity and efficiency.\n\nCollective - team first, low ego.\n\nKindness - at the heart of every interaction.\n\nWe're building a solid, aligned, and motivated team.\nYour missions\nAs a Machine Learning Engineer and a founding member of the tech team, you'll play a central role in how we design, structure, and scale our products and our technical strategy. You'll report directly to Thomas (CTO & co-founder).\nDesign, build, and scale our data ingestion, transformation, and structuring processes at scale.\n\nContribute across every stage of our product:the anonymization pipeline (combining algorithmic approaches with human verification) to build digital twin of companies.\nthe multi-modal data enrichment & curation pipeline\nthe reinforcement learning (RL) environments simulating real business contexts and workflows\n\nDefine our technical standards, take an active part in the structuring architecture decisions (tech choices, design patterns, scalability, MLOps).\n\nWork closely with the product and business teams to scope and ship new data projects.\nMentor and grow the future members of the tech team, building a strong ML engineering & software culture at Ooak Data.\n\nWho we're looking for\n5+ years of experience in Machine Learning Engineering or software development and data architecture.\n\nStrong coding experience using Python or Typescript and Rust\n\nExpertise in deep learning frameworks: PyTorch, JAX, or TensorFlow.\n\nExperience in Inference and RL framework: vLLM, SGLang, Slime\n\nMLOps & model deployment know-how: versioning, monitoring, experiment tracking.\n\nProven track record delivering projects in an agile, collaborative environment.\nGenuine desire to mentor and grow more junior profiles over time.\nDemonstrated ability to thrive in a demanding, fast-growing environment.\nExcellent analytical skills, attention to detail, and strong prioritization.\nFluent English, mandatory (working language with our clients and the labs).\n\nThe extras that make the difference\nExperience with GCP (or equivalent), Modal or GPU cluster and serverless technologies\nExperience with infrastructure as code (Terraform, CloudFormation).\nStrong interest in data anonymization, multi-modality, and RL environments.\nWhy join us\nEntrepreneurial adventure, play a key role and live the early days of an ambitious company, right at the front line of the AI revolution.\n\nBacked by Y Combinator, join just as we accelerate.\n\nFounding impact, shape the product, the tech stack, and the engineering culture from day one.\n\nOffices in central Paris + 1-2 days WFH.\n\nPerks:\nUnlimited GPT & Claude tokens\nAlan health insurance (mutuelle)\n\n50% Navigo covered\n\nRecruitment process\nWe can move very fast.\nA 30-min intro call with Grégoire (COO & co-founder)\nA 30-min call with Thomas (CTO & co-founder)\nA technical case study:Async preparation\nDebrief interview with Thomas\n\nA final fit interview with the founding team\nOffer\nA 30-min intro call with Grégoire (COO & co-founder)\n\nA 30-min call with Thomas (CTO & co-founder)\n\nA technical case study:\nAsync preparation\nDebrief interview with Thomas\n\nA final fit interview with the founding team\n\nOffer","description_format":"text","description_chars":4097,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Health insurance"],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Training Data & Annotation","AI Evaluation & Observability"],"lifecycle":[{"event":"open","at":"2026-09-03T08:40:04Z"}],"visa":[],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.608,"p_room":0.55,"age_days":48,"expected_fill_days":36,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":112314,"is_top_pay":false},"html_url":"https://alion.io/job/ooak-data-ml-engineer","json_url":"https://alion.io/job/ooak-data-ml-engineer.json","meta":{"generated_at":"2026-10-22T17:20:15Z","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":18255,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":2066},"rest":"https://alion.io/mcp/rest/get_company?id=2066"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fooak-data-ml-engineer"},{"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%2Fooak-data-ml-engineer"},{"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%2Fooak-data-ml-engineer"},{"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/ooak-data-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fooak-data-ml-engineer"}]}