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

Responsibilities

• 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)

Requirements

• 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 .
• Want to learn more about our tech culture and environment? Visit the Doctolib Tech site .

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