ml engineer Applied AI & LLMs

Doctolib provides a fully cloud-native healthcare platform with web and mobile interfaces across multiple languages and healthcare specialties. Its products use AI to improve outcomes for healthcare professionals and patients.

• 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;
• Establish shared production infrastructure patterns for AI, including model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability;
• Lead the technical design of agentic solutions and define how product teams build on top of AI capabilities;
• Elevate technical standards across the DS & AI organization through architecture reviews, technical guidance, and practice propagation;
• Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations, including GDPR, MDR, and the EU AI Act.

• 10+ Years of experience in ML/AI, including 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives;
• Deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning;
• Expert knowledge of Python, PyTorch/Transformers for training, and vLLM for inference;
• Track record deploying ML systems in production on AWS/GCP;
• PhD in Computer Science, AI, Statistics, or a related field, or equivalent research experience;
• Exceptional communication skills and ability to align diverse stakeholders and explain complex technical decisions;
• Nice to have: Publications in top-tier ML/AI conferences or medical informatics venues, experience with EU healthcare regulations, prior work with clinical data or healthcare applications.

• Free comprehensive health insurance for you and your children;
• 25 Days of paid vacation per year, plus up to 14 days of RTT;
• Free mental health and coaching services through Moka.care;
• Work from abroad for up to 10 days per year;
• Lunch vouchers with Swile card (€8.50 value, €4.50 covered by Doctolib);
• Work Council subsidy for sports club memberships or creative classes;
• 50% Reimbursement of your public transport subscription;
• Parent Care Program: one additional month of leave on top of legal parental leave;
• Remote policy adaptation, extra medical leave, and psychological support for caregivers and workers with disabilities;
• Relocation support for international mobility;
• Access to premium AI tools for development and dedicated training;
• Hybrid work mode (up to 2 remote days per week);
• Start date: as soon as possible;
• Technical Case Study is part of the interview process;
• At least one reference check is part of the interview process.