Senior Staff Machine Learning Engineer - Clinical - AI Teams (x/f/m)
Doctolib · 🇫🇷 Paris, France
Sponsorship Verification Proof
The posting itself mentions visa sponsorship or relocation support:
“• Relocation support in case of international mobility”
- Verification category
- Posting mentions relocation support (no visa wording)
- Role category
- ML / AI
- Last verified
- 2026-10-25
- First indexed
- 2026-10-24
- Posted date
- 2025-10-29
- ATS / Feed source
- Greenhouse job board
Role Description (Excerpt)
What you’ll do 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. Your responsibilities include but are not limited to: Technical Strategy & Architecture • 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 End-to-End ML Delivery • 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…
Excerpt only — read the full requirements and apply directly on Doctolib's career page. We do not process applications.