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Senior Staff Machine Learning Engineer - Clinical - AI Teams

France, Paris · Job Posted January 05, 2026
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Job Description

We 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 role combines deep R&D with strategic technical leadership, shaping how Doctolib deploys AI in regulated healthcare environments.

Job Responsibility

  • Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
  • Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
  • Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows
  • Lead 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 standards
  • Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
  • Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction
  • Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
  • Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
  • Translate clinical needs into research questions and production systems that measurably improve patient outcomes
  • Partner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards

Requirements

  • 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
  • PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
  • Deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
  • Expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)
  • Exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions

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

What we offer

  • Free comprehensive health insurance for you and your children
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from abroad for up to 10 days per year thanks to our flexibility days policy
  • Work Council subsidy to refund part of sport club membership or creative class
  • Up to 14 days of RTT
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • Lunch voucher with Swile card

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