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Principal Machine Learning Engineer - Applied AI & LLMs

Doctolib
AI / ML Engineer • Principal • On-site • Full-time • 📍 Paris
📄 View original listing (EN)

A transversal Principal ML Engineer role at Doctolib's DS & AI organization, operating across all AI teams (Clinical, Productivity, Phone Assistant, ASR) rather than within a single feature team. The role owns cross-cutting technical challenges, defining how teams build agentic solutions, standardizing ML evaluation, and spreading strong engineering practices to impact healthcare professionals and patients.

Stack

AI/MLAWSGCPJavaKotlinPythonPyTorchReactRuby on RailsswiftTypeScript

Responsibilities

  • ▹Own cross-team ML architecture decisions, from model selection to production deployment patterns and build vs. buy strategy
  • ▹Define and drive adoption of rigorous evaluation frameworks across all AI teams
  • ▹Establish shared production infrastructure patterns: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, observability
  • ▹Lead the technical design of agentic solutions and define how product teams build on top of AI capabilities
  • ▹Elevate technical standards by influencing Staff and Senior ML Engineers through architecture reviews and technical guidance
  • ▹Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act)

Requirements

  • ▹10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team initiatives
  • ▹Deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, ASR, RAG systems, or reinforcement learning
  • ▹Expert in Python, PyTorch/Transformers for training, and vLLM for inference
  • ▹Track record deploying ML systems in production (AWS/GCP)
  • ▹PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)

Nice to 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

Soft skills

Exceptional communication skillsAbility to align diverse stakeholdersAbility to explain complex technical decisionsSenior ML judgment at scale

What we offer

  • ▹Free comprehensive health insurance for you and your children
  • ▹25 days of paid vacation per year, plus up to 14 RTT days
  • ▹Cloud-native tech stack including Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native
Languages: angol
Education: PhD informatika, mesterséges intelligencia, statisztika vagy kapcsolódó területen (vagy ezzel egyenértékű kutatói tapasztalat)