--- title: 'Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m) at Doctolib' canonical: 'https://feeny.ai/job/principal-machine-learning-engineer-applied-ai-llms-x-f-m-doctolib-berlin-9gzvztw46fdk' type: 'job' last_seen: '2026-10-16' --- # Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m) at Doctolib - **Company:** [Doctolib](https://feeny.ai/companies/doctolib) - **Location:** Berlin, Germany - **Employment:** contract - **Work type:** hybrid - **Posted:** 2026-05-29 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/doctolib/4f59e9cf-6d3c-41df-93ed-f3f461dcb475/application **Skills:** Python, PyTorch, Transformers, vLLM, AWS, GCP, Clinical NLP, LLM fine-tuning, Automatic speech recognition, RAG systems, Reinforcement learning, NeurIPS, ICLR, ACL, Medical informatics > Lead cross-cutting ML architecture and technical strategy for AI teams, defining agentic solutions and evaluation frameworks. Drive production deployment patterns, standardize engineering practices, and ensure regulatory compliance while mentoring senior engineers. ## Job description ## What you’ll do We 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. Technical Strategy & Architecture - Own cross-team ML architecture decisions, from model selection to production deployment patterns and strategic build vs. buy decisions - Define and drive adoption of rigorous evaluation frameworks across all AI teams, setting the standard for how Doctolib measures model and agentic performance - Establish shared production infrastructure patterns for AI: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability - Lead the technical design of agentic solutions and define how product teams across Doctolib build on top of AI capabilities - Elevate technical standards across the DS & AI org by influencing Staff and Senior ML Engineers through architecture reviews, technical guidance, and practice propagation - Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act) ## Who you are Before 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. You'll be a great fit if: - You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives - You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning - You are expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP) - You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) - You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions Now it would be fantastic if you have: - Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues - Experience with EU healthcare regulations (GDPR, MDR, AI Act) - Prior work with clinical data or healthcare applications Life at Doctolib Tech - Our solutions are built on a single fully cloud-native platform supporting web and mobile interfaces across multiple languages and healthcare specialties. - Our stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. - We leverage AI ethically to empower patients and professionals. Discover our AI vision [here](https://careers.doctolib.com/ai-careers/). Want to learn more about our tech culture and environment? Visit the [Doctolib Tech site](https://careers.doctolib.com/tech-doctolib/). ## What we offer - A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib - 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) - Work from abroad for up to 10 days per year thanks to our flexibility days policy - Company health insurance with great supplementary benefits through our partner Allianz - Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) - The Doctolib Parent Care program, which includes one month additional parental leave and much more - Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth - Free mental health and coaching services through our partner Moka.care - Subsidized sports membership through our partner Urban Sports Club - A flexible workplace policy offering both hybrid and office-based mode - Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit - For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support - Relocation support in case of international mobility - Access to the best AI tools for coding, development and dedicated training The interview process - HR Screen - Hiring Manager Interview - Technical Interview - Technical Case Study - Behavioral Interview - At least one reference check We want your experience to be clear, respectful, and transparent. Learn more on our [candidate experience page](https://careers.doctolib.com/tech-doctolib/getting-hired/). Job details - Permanent position - Full-time - Berlin - Hybrid work mode (up to 2 remote days per week) - Start date: as soon as possible We welcome everyone At 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! The 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. To 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. ## Your data privacy All information transmitted via this form is processed by Doctolib for application management. For more on how we process your data, click [here](https://doctolib.legal/B2C-Privacy-Policy-Career-FR). For inquiries or to exercise your rights, contact us at hr.dataprivacy(at)doctolib.com. ## About Doctolib ## Company Overview - **One-liner**: Doctolib builds digital healthcare solutions for health professionals and patients, including appointment booking, telemedicine, EHR, and AI-powered clinical assistants. - **Entity Type**: Private (Series E; $816M total funding) - **Headquarters**: Levallois‑Perret, France - **Founded**: 2013 - **Founders**: Not publicly listed (the company was founded by a team including Stanislas Niox‑Chateau, but the profile attributes it to a founding group; official sources do not emphasise individual founder names – likely Roman Schué, Stanislas Niox‑Chateau, and others) ## Core Business - **Primary industry**: Healthcare Technology / Healthtech - **Target customers**: B2B (healthcare professionals, hospitals, clinics) and B2C (patients); primary markets in France, Germany, Italy, and the Netherlands - **Mission/purpose**: “Build together the healthcare we all dream of” – a purpose‑driven company (société à mission) with seven social objectives including improving care teams’ quality of life, facilitating access to care, and developing prevention. ## Products & Services - **Appointment Booking & Calendar Management**: 24/7 online booking, waitlist, reminders, delays, and calendar optimisation. Used by 420,000+ health professionals and 90M+ patients. - **Clinical & Financial Suite (EHR)**: Electronic health records, document management, secure messaging, prescribing, billing engine, and insurance processing. Includes “Doctolib Médecin” for GPs and “Doctolib Kiné” for physiotherapists. - **AI Assistants**: - *AI Consultation Assistant*: Real‑time structured transcription and documentation (supported 5M consultations). - *AI Phone Assistant*: Handles booking and patient messaging 24/7. - *AI Health Assistant* (in Health Companion): Answers health questions, provides coaching, and guides care journeys. - **Health Companion**: Patient app for prevention campaigns, early detection, personalised guidance, video consultations, and care‑journey tracking. - **Practice Efficiency & Patient Acquisition**: Tools for patient base management, recalls/notifications, practice analytics, CRM integrations, and marketing visibility. - **Cooperative Care (Siilo)**: Secure messaging, case management, and referral platform enabling care coordination across professionals (merger with Siilo in 2023). - **Financial Solutions**: Simplifies complex billing and insurance workflows for healthcare professionals. - **Tailor‑made Service & Advisory**: Custom support and advisory for healthcare institutions. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company; total funding $816M) - **Key Metric**: Annual Revenue ~€257.6M (most recent available). Total funding $816M (Series E of $170.3M led by General Atlantic in March 2019, with prior rounds from Accel, Eurazeo, Bpifrance, etc.) - **Notable Investors/Partners**: General Atlantic, Accel, Eurazeo, Bpifrance, and others. Partners include public hospitals (AP‑HP) and the French government (vaccination campaign support). - **Growth Signals**: - 90M+ patients and 420,000+ health professionals across Europe. - 2,900+ employees (up from 2,618 reported earlier). - Tech & Product team of 900+ engineers. - 15M online appointments booked per month in France alone, half outside office hours. - B Corp certification (goal achieved by 2024). - Expansion into Italy (2021) and Netherlands (via Siilo merger 2023). - AI adoption: AI Consultation Assistant supporting 5M consultations. ## Competitive Advantages - **Deep Healthcare Specialisation**: Over a decade of domain expertise; solutions meet highest clinical standards (ISO 27001, HDS certified). - **Localised Approach**: Products adapted to each country’s regulations, languages, and specialties while maintaining a unified platform. - **Ecosystem Lock‑in**: Integrated suite covering scheduling, EHR, billing, telemedicine, AI, and care coordination – creating a one‑stop shop for professionals. - **Scale & Network Effects**: Large patient base (80–90M) drives adoption by professionals, which in turn attracts more patients. - **AI‑First Innovation**: Research lab partnered with top tech and clinical institutions; deploying AI for documentation, decision support, and patient engagement. - **Purpose & Trust**: Certified B Corp and French “société à mission” with annual independent audits, reinforcing trust with users and regulators. ## Strategic Focus - **AI‐Powered Efficiency**: Scaling AI assistants to reduce administrative burden (targeting 4.5 hours saved per week per GP). - **International Expansion**: Deepening footprint in Germany, Italy, and the Netherlands while maintaining leadership in France. - **Real‑World Impact**: Focus on prevention, early detection, and continuous care (Health Companion). - **Platform Consolidation**: Integrating care cooperation (Siilo) and financial solutions to create a seamless end‑to‑end experience. - **Talent & Culture**: Growing tech team, investing in AI research, and reinforcing mission‑driven culture to attract top engineering and product talent. ## Why Work Here - **Purpose & Mission**: B Corp certified, purpose‑driven company with a clear social impact (improving healthcare access and quality of life for care teams). - **Tech Scale & Challenge**: Build platform used by millions, work with 900+ tech peers on cloud‑native (AWS), mobile, AI, and security at scale. - **Learning & Development**: Doctolib Academy for onboarding; continuous training in AI tools, soft skills, and leadership; transparent internal mobility. - **Benefits**: - Health insurance 100% paid for you and children. - 25 vacation days + up to 14 RTT days/year. - Parent Care Program: one additional month of leave beyond legal parental leave. - Free mental health coaching via Moka.care. - Gym (on‑site in Paris) with group classes. - Flexible workplace: hybrid or office‑based; work from EU/UK up to 10 days/year. - Subsidised sports/creative class membership. - Lunch vouchers (Swile card). - Solidarity Days (2 days/year for health charities). - **Work Environment**: Transparent internal mobility, support for new managers, diversity & inclusion initiatives, and a strong emphasis on collaboration with healthcare professionals. - **Locations**: Paris, Nantes, Berlin, Milan, Amsterdam, and other EU cities. ## Sources 1. [careers.doctolib.com](https://careers.doctolib.com/) – Careers page with benefits, culture, and product descriptions. 2. [linkedin.com/company/doctolib](https://www.linkedin.com/company/doctolib) – Company details, financials, workforce, and reviews. 3. [careers.doctolib.com/tech-doctolib/](https://careers.doctolib.com/tech-doctolib/) – Tech team overview, AI and product details. 4. [media.doctolib.com](https://media.doctolib.com/image/upload/mkg/file/impact_report_en_digital.pdf) – 2024 Impact Report with detailed mission, impact metrics, and business model. ## Other roles at Doctolib - [Responsable Partenaires Ecosystème Santé (x/f/m)](https://feeny.ai/job/responsable-partenaires-ecosysteme-sante-x-f-m-doctolib-paris-8ydj9rs3ybqc) — Paris, France - [Praktikum/Werkstudent:in Partnership Management (x/f/m)](https://feeny.ai/job/praktikum-werkstudent-in-partnership-management-x-f-m-doctolib-munchen-2srwp7ed20cv) — München, Germany - [Praktikum/Werkstudent:in Partnership Management (x/f/m)](https://feeny.ai/job/praktikum-werkstudent-in-partnership-management-x-f-m-doctolib-hamburg-wz07knq7h32t) — Hamburg, Germany - [Praktikum/Werkstudent:in Partnership Management (x/f/m)](https://feeny.ai/job/praktikum-werkstudent-in-partnership-management-x-f-m-doctolib-berlin-nsjp39903dz4) — Berlin, Germany - [Praktikum Public Affairs & Advocacy (x/f/m)](https://feeny.ai/job/praktikum-public-affairs-advocacy-x-f-m-doctolib-berlin-091ya8dcjtrh) — Berlin, Germany - [Team Manager Account Management (x/f/m)](https://feeny.ai/job/team-manager-account-management-x-f-m-doctolib-berlin-619t462evhfn) — Berlin, Germany - [Software Engineer Intern - Fullstack (x/f/m) - Berlin - March 2027](https://feeny.ai/job/software-engineer-intern-fullstack-x-f-m-berlin-march-2027-doctolib-berlin-8xhe2292w0p1) — Berlin, Germany - [Software Engineer Intern - Fullstack (x/f/m) - Amsterdam](https://feeny.ai/job/software-engineer-intern-fullstack-x-f-m-amsterdam-doctolib-amsterdam-f0zy604jsz1t) — Amsterdam, Netherlands - [Software Engineer Intern - Fullstack (x/f/m) - Milano](https://feeny.ai/job/software-engineer-intern-fullstack-x-f-m-milano-doctolib-milan-2vy0jxsyw48t) — Milan, Italy - [Software Engineering Intern - Fullstack (x/f/m) - Niort](https://feeny.ai/job/software-engineering-intern-fullstack-x-f-m-niort-doctolib-niort-maphfen14t6g) — Niort, France