Doctolib
Healthcare
PrincipalMachineLearningEngineer-AppliedAI&LLMs(x/f/m)
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“Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m) at Doctolib. Skills: Machine Learning, Applied AI, LLMs, Agentic solutions. Own cross-team ML architecture decisions. Define and drive adoption of evaluation frameworks”
What You'll Achieve.
Measurably improve outcomes for care teams; Measurably improve outcomes for patients
Industry & Context.
What They're Looking For.
Must Have
10+ years in ML/AI, 3+ years at Staff+ or Principal level, Expert in Python, Expert in PyTorch/Transformers, Expert in vLLM, Track record deploying ML systems in production, PhD in Computer Science, AI, Statistics, or related field, Exceptional communication skills
Nice to Have
Publications in top-tier ML/AI conferences, Experience with EU healthcare regulations, Prior work with clinical data, Prior work with healthcare applications
What You'll Do.
Own cross-team ML architecture decisions
Define and drive adoption of evaluation frameworks
Set standard for model performance measurement
Establish shared production infrastructure patterns
Lead technical design of agentic solutions
Define how product teams build on AI
Elevate technical standards across DS & AI org
Influence Staff and Senior ML Engineers
Meet EU regulatory expectations
How You'll Work.
Team & Collaboration
Across all AI teams; With Product, Legal, Compliance; With Staff and Senior ML Engineers
Communication Scope
Explain technical decisions
Full Job Description
What you’ll do We are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib. This is a transversal force multiplier role operating across all AI teams: Clinical, Productivity, Phone Assistant and ASR. Rather than working within a single feature team, you will own the cross-cutting technical challenges: defining how Doctolib's product and AI teams build agentic solutions, standardizing ML evaluation frameworks, and spreading strong engineering practices across the org. You will unblock teams, shape architecture decisions, and take on the deep technical work that requires senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and the health of 80 million patients. Building at Doctolib means delivering innovative products that measurably improve outcomes for care teams and patients alike. 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) Who you are 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'l
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