Senior Machine Learning Engineer - Orchestration - Applied AI & LLMs (x/f/m)

Set a new pulse for healthcare!We are looking for a Senior Machine Learning Engineer to join the Orchestration team in AI Health Assistant.Your mission will be to ensure our AI Health Companion behaves safely, reliably, and helpfully — for millions of patients and practitioners. You will work in a cross-functional team building robust evaluation pipelines for agentic AI systems, contributing directly to improving the quality and safety of AI-powered healthcare.Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.What you'll doYour responsibilities include but are not limited to:Define and own the evaluation strategy for our AI agentic system — metrics, protocols, datasets, and toolingImplement and maintain automated evaluation pipelines to monitor model quality, safety, and alignment across iterationsRun systematic experiments to assess reasoning, factuality, robustness, and user experienceCollaborate closely with model developers and research scientists to provide insights and drive iterative improvementContribute to research and internal knowledge sharing on LLM evaluation methodologies and best practicesLife at Doctolib TechOur 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.Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.Who you areBefore 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:Hold an MSc or PhD in Computer Science, Machine Learning, Data Science, or a related fieldHave 7+ years of hands-on experience working with large language models (e.g., GPT, Claude, Llama, or BERT-like architectures)Have proven experience evaluating agentic or reasoning systems (e.g., autonomous agents, tool-using LLMs, dialogue systems, or task-oriented assistants)Have a strong track record in experiment design, metric definition, and evaluation automationAre able to bridge research and production, influencing both modeling and product decisionsHave excellent communication skills, a collaborative mindset, and are fluent in EnglishIt would be fantastic if you:Have experience in the clinical or medical domain and sensitivity to ethical or regulatory challenges in healthcare AIWhat we offerFree comprehensive health insurance (basic package) for you and your children25 days of paid vacation per year, plus up to 14 days of RTTFree mental health and coaching services through our partner Moka.careWork from abroad for up to 10 days per year thanks to our flexibility days policyLunch vouchers (Swile card) worth 8.50 per working day, with 4.50 covered by DoctolibA subsidy from the work council to refund part of the membership to a sport club or a creative class50% reimbursement of your public transport subscriptionParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by DoctolibEnrollment in Doctolib's long-term employee value sharing plan called DoctoGrowthFor caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological supportRelocation support in case of international mobilityAccess to the best AI tools for coding, development and dedicated trainingOur interview processRecruiter InterviewTechnical Deep DiveData System DesignBehavioral InterviewAt least one reference checkWe want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.Job detailsPermanent positionFull-timeHybrid in our Levallois-Perret office (up to 2 remote days per week)Start date: as soon as possibleWe welcome everyoneAt 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.The 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.To 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.Join us in building the healthcare we all dream of!Your data privacyAll 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.