{"id":66016,"url":"https://alion.io/job/doctolib-principal-machine-learning-engineer-applied-ai-llms-xfm","title":"Principal 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":83,"open_postings":63,"ghost_share":0.016,"stale_share":0.619,"repost_share":0.048,"time_to_fill_p50_days":34,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":197000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"EU AI Act","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Kotlin","optional":true},{"name":"React Native","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-05-29T14:51:46Z","employer_posted_date":"2026-05-29","last_verified_at":"2026-11-01T08:55:17Z","board_verified":true,"closed_at":null,"days_open":155,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":155},"description":"What you’ll do\nWe are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib. This is a transversal force multiplier role operating across all AI teams: Clinical, Productivity, Phone Assistant and ASR. Rather than working within a single feature team, you will own the cross-cutting technical challenges: defining how Doctolib's product and AI teams build agentic solutions, standardizing ML evaluation frameworks, and spreading strong engineering practices across the org. You will unblock teams, shape architecture decisions, and take on the deep technical work that requires senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and the health of 80 million patients. Building at Doctolib means delivering innovative products that measurably improve outcomes for care teams and patients alike.\nTechnical Strategy & Architecture\nOwn cross-team ML architecture decisions, from model selection to production deployment patterns and strategic build vs. buy decisions\n\nDefine and drive adoption of rigorous evaluation frameworks across all AI teams, setting the standard for how Doctolib measures model and agentic performance\n\nEstablish shared production infrastructure patterns for AI: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability\n\nLead the technical design of agentic solutions and define how product teams across Doctolib build on top of AI capabilities\n\nElevate technical standards across the DS & AI org by influencing Staff and Senior ML Engineers through architecture reviews, technical guidance, and practice propagation\n\nPartner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act)\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:\nYou have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives\n\nYou have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning\n\nYou are expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP)\n\nYou have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)\n\nYou have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions\n\nNow it would be fantastic if you have:\nPublications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues\n\nExperience with EU healthcare regulations (GDPR, MDR, AI Act)\n\nPrior work with clinical data or healthcare applications\n\nLife at Doctolib Tech\nOur solutions are built on a single fully cloud-native platform supporting web and mobile interfaces across multiple languages and healthcare specialties.\n\nOur stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.\n\nWe leverage AI ethically to empower patients and 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\nA Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib\n\n28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)\n\nWork from abroad for up to 10 days per year thanks to our flexibility days policy\n\nCompany health insurance with great supplementary benefits through our partner Allianz\n\nCompany pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period)\n\nThe Doctolib Parent Care program, which includes one month additional parental leave and much more\n\nEnrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth\n\nFree mental health and coaching services through our partner Moka.care\n\nSubsidized sports membership through our partner Urban Sports Club\n\nA flexible workplace policy offering both hybrid and office-based mode\n\nAlongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit\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\nThe interview process\nHR Screen\n\nHiring Manager Interview\n\nTechnical Interview\n\nTechnical Case Study\n\nBehavioral Interview\n\nAt least one reference check\n\nWe want your experience to be clear, respectful, and transparent. Learn more on our candidate experience page.\nJob details\nPermanent position\n\nFull-time\n\nBerlin\n\nHybrid work mode (up to 2 remote days per week)\n\nStart date: as soon as possible\n\nWe welcome everyone\nAt Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from or what you look like. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. We respect and celebrate diversity!\nThe more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply regardless of gender, religion, age, sexual orientation, ethnicity, disability, or place of origin.\nTo ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you have a disability, let us know if there's any way we can make the interview process smoother for you! Join us in building the healthcare we all dream of.\nYour data privacy\nAll information transmitted via this form is processed by Doctolib for application management. For more on how we process your data, click here. For inquiries or to exercise your rights, contact us at hr.dataprivacy(at)doctolib.com.","description_format":"text","description_chars":6100,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Health insurance","Hybrid work","Parental leave"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Practice Management Software","Patient Access & Booking"],"lifecycle":[{"event":"open","at":"2026-05-29T14:51:46Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.314,"p_room":0.28,"age_days":155,"expected_fill_days":34,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/doctolib-principal-machine-learning-engineer-applied-ai-llms-xfm","json_url":"https://alion.io/job/doctolib-principal-machine-learning-engineer-applied-ai-llms-xfm.json","meta":{"generated_at":"2026-11-01T12:43:25Z","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":19605,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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-principal-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-principal-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-principal-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-principal-machine-learning-engineer-applied-ai-llms-xfm\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdoctolib-principal-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":66016}},{"tool":"search_jobs","arguments":{"company":"doctolib.fr","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":66016},"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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