{"id":66015,"url":"https://alion.io/job/doctolib-senior-machine-learning-engineer-applied-ai-llms-xfm","title":"Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m)","company":{"id":52886,"name":"Doctolib","domain":"doctolib.fr","url":"https://alion.io/company/doctolib","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":82,"open_postings":63,"ghost_share":0.016,"stale_share":0.635,"repost_share":0.048,"time_to_fill_p50_days":34,"computed_at":"2026-11-05T05:54:30Z"}},"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":null,"salary_estimate":{"min_usd":61000,"max_usd":121000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Braintrust","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LiteLLM","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Model Distillation","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"VLM","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Kotlin","optional":true},{"name":"Python","optional":true},{"name":"React Native","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-06-01T07:41:52Z","employer_posted_date":"2026-06-01","last_verified_at":"2026-11-05T14:01:13Z","board_verified":true,"closed_at":null,"days_open":157,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":156},"description":"Your Impact\nWe are looking for a Senior Machine Learning Engineer to join the ML Engineering team in Patient Solutions.\nYour mission will be to improve how people access quality care and manage their health over time by building and leading AI and ML systems that create real, measurable impact. You will work in a feature team developing intelligent patient-facing solutions, from smart practitioner discovery to long-term care management, playing a key technical role in shaping how we scale our AI capabilities across Europe.\nWorking in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.\nWhat you'll do\nYour responsibilities include but are not limited to:\nDesign and implement ML and AI solutions aligned with patient product goals, covering search, retrieval, and personalized care pathways\n\nBuild and maintain large-scale retrieval pipelines, including hybrid search, embedding systems, vector databases, and multi-stage re-ranking architectures\n\nDevelop, fine-tune, and evaluate LLM and VLM models using techniques such as knowledge distillation, Mixture-of-Experts (MoE) architectures, and prompt engineering\n\nBuild and orchestrate agentic AI systems, integrating external data and capabilities through tools and MCP-based integrations\n\nDefine metrics aligned with product goals, run controlled end-to-end experiments using W&B, MLFlow, or Braintrust, and communicate findings to guide product and technical decisions\n\nDeploy solutions to production in collaboration with our ML platform team, ensuring reliability, observability, and performance at scale, and act as a technical reference to elevate the team's standards and practices\n\nWho you are\nBefore you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.\nYou'll be a great fit if you:\nYou have 7+ years of experience in Machine Learning, Deep Learning, or AI Engineering, with a strong track record of taking models from prototype to production at scale\n\nYou have strong experience in Information Retrieval and modern retrieval stacks: hybrid search (sparse + dense), large-scale embeddings and vector databases, multi-stage retrieval and re-ranking pipelines, RAG architectures, and tool/MCP-based integrations\n\nYou are proficient in LLM and VLM application development: fine-tuning, MoE architectures (via LiteLLM or Model Garden), knowledge distillation, prompt engineering, and systematic benchmarking of LLM/VLM systems\n\nYou have hands-on experience building and orchestrating agentic AI systems (e.g., using ADK)\n\nYou demonstrate strong scientific rigor: designing metrics aligned with product goals, running controlled experiments, and communicating results clearly to both product and engineering stakeholders\n\nYou have experience operating large-scale applications in production (monitoring, reliability, performance, observability), bring strong analytical skills, and approach your work with a user-first mindset. You are fluent in English\n\nIt would be fantastic if you:\nHave experience in B2C marketplace environments\n\nHave experience in other ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference\n\nLife at Doctolib Tech\nOur solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.\n\nOur stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.\n\nWe leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.\n\nWant to learn more about our tech culture and environment? Visit the Doctolib Tech site.\nWhat we offer\nFree comprehensive health insurance (basic package) for you and your children\n\n25 days of paid vacation per year, plus up to 14 days of RTT\n\nFree mental health and coaching services through our partner Moka.care\n\nWork from abroad for up to 10 days per year thanks to our flexibility days policy\n\nLunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib\n\nA subsidy from the work council to refund part of the membership to a sport club or a creative class\n\n50% reimbursement of your public transport subscription\n\nParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib\n\nEnrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth\n\nFor caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support\n\nRelocation support in case of international mobility\n\nAccess to the best AI tools for coding, development and dedicated training\n\nOur interview process\nRecruiter Interview\n\nFeature Building Interview\n\nSystem Design Interview\n\nBehavioral Interview\n\nAt least one reference check\n\nWe want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.\nJob details\nPermanent position\n\nFull-time\n\nLocation: Doctolib Paris office in Levallois-Perret\n\nHybrid work setup (3 days/week in the office)\n\nStart date: as soon as possible\n\nWe welcome everyone\nAt Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.\nThe more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.\nTo ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.\nJoin us in building the healthcare we all dream of!\nYour data privacy\nAll information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.","description_format":"text","description_chars":6322,"description_truncated":false,"requirements":{"experience_years_min":7,"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","Hybrid work"],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Practice Management Software","Patient Access & Booking"],"lifecycle":[{"event":"open","at":"2026-06-01T07:41:52Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.341,"p_room":0.28,"age_days":156,"expected_fill_days":34,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/doctolib-senior-machine-learning-engineer-applied-ai-llms-xfm","json_url":"https://alion.io/job/doctolib-senior-machine-learning-engineer-applied-ai-llms-xfm.json","meta":{"generated_at":"2026-11-05T14:06:59Z","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":18176,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":52886},"rest":"https://alion.io/mcp/rest/get_company?id=52886"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdoctolib-senior-machine-learning-engineer-applied-ai-llms-xfm"},{"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%2Fdoctolib-senior-machine-learning-engineer-applied-ai-llms-xfm"},{"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%2Fdoctolib-senior-machine-learning-engineer-applied-ai-llms-xfm"},{"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/doctolib-senior-machine-learning-engineer-applied-ai-llms-xfm\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdoctolib-senior-machine-learning-engineer-applied-ai-llms-xfm"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":66015}},{"tool":"search_jobs","arguments":{"company":"doctolib.fr","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":66015},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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