Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer - Clinical (x/f/m)Job DescriptionWhat you’ll doWe are looking for a Senior Staff Machine Learning Engineer to join the Clinical team in the AI and Machine Learning Department. You'll lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle the hardest problems in healthcare AI, from building voice-powered consultation assistants to establishing LLM evaluation frameworks that ensure clinical safety and efficacy. This rolecombines deep R&D with strategic technical leadership, shaping how Doctolib deploys AI in regulated healthcare environments.Your responsibilities include but are not limited to:Technical Strategy & ArchitectureOwn the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patternsDrive strategic build vs. buy decisions, balancing custom development with foundation model APIsDefine standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflowsEnd-to-End ML DeliveryLead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standardsBuild production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observabilityDefine a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfactionLeadership & ImpactMentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organizationLead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teamsTranslate clinical needs into research questions and production systems that measurably improve patient outcomesPartner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards.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 have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiativesYou have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learningYou are expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisionsNow it would be fantastic if you have:Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venuesExperience with EU healthcare regulations (GDPR, MDR, AI Act)Prior work with clinical data or healthcare applicationsWhat we offerFree comprehensive health insurance for you and your childrenParent Care Program: receive one additional month of leave on top of the legal parental leaveFree mental health and coaching services through our partner Moka.careFor caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological supportWork from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policyWork Council subsidy to refund part of sport club membership or creative classUp to 14 days of RTTA subsidy from the work council to refund part of the membership to a sport club or a creative classLunch voucher with Swile cardThe interview processHR ScreenBehavioral InterviewTechnical QuestionsTechnical Case StudyAt least one reference checkJob detailsFull-timeHybrid work mode (3 days/week in the office)Paris, FranceStart date: as soon as possibleIf you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles At 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, 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 ofAll information provided is processed by Doctolib for application management. For data processing details, click here.Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.Senior Staff Machine Learning Engineer - Clinical (x/f/m) #J-18808-Ljbffr