Senior Staff Machine Learning Engineer - Clinical - AI Teams (x/f/m)
Doctolib · Paris, Paris, France · 2026-07-16
À propos du poste
<h2><strong>What you’ll do</strong></h2> <p>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&nbsp;<strong>combines deep R&amp;D with strategic technical leadership</strong>, shaping how Doctolib deploys AI in regulated healthcare environments.</p> <p>Your responsibilities include but are not limited to:</p> <p><strong>Technical Strategy &amp; Architecture</strong></p> <ul> <li>Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns</li> <li>Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs</li> <li>Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows</li> </ul> <p><strong>End-to-End ML Delivery</strong></p> <ul> <li>Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)</li> <li>Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards</li> <li>Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability</li> <li>Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction</li> </ul> <p><strong>Leadership &amp; Impact</strong></p> <ul> <li>Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization</li> <li>Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams</li> <li>Translate clinical needs into research questions and production systems that measurably improve patient outcomes</li> <li>Partner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards.</li> </ul> <p>&nbsp;</p> <h2><strong>Who you are</strong></h2> <p>Before you read on,&nbsp; 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.</p> <ul> <li>You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives</li> <li>You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)</li> <li>You have deep expertise in <strong>at least two</strong> of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning</li> <li>You are expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)</li> <li>You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions</li> </ul> <p>Now it would be fantastic if you have:</p> <ul> <li>Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues</li> <li>Experience with EU healthcare regulations (GDPR, MDR, AI Act)</li> <li>Prior work with clinical data or healthcare applications</li> </ul> <h2><strong>What we offer</strong></h2> <ul class="list-disc pb-2 pl-6 flex flex-col gap-1 text-foreground text-base leading-relaxed"> <li class="break-words text-foreground text-base leading-relaxed">Free comprehensive health insurance (basic package) for you and your children</li> <li class="break-words text-foreground text-base leading-relaxed">25 days of paid vacation per year, plus up to 14 days of RTT</li> <li class="break-words text-foreground text-base leading-relaxed">Free mental health and coaching services through our partner Moka.care</li> <li class="break-words text-foreground text-base leading-relaxed">Work from abroad for up to 10 days per year thanks to our flexibility days policy</li> <li class="break-words text-foreground text-base leading-relaxed">Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib</li> <li class="break-words text-foreground text-base leading-relaxed">A subsidy from the work council to refund part of the membership to a sport club or a creative class</li> <li class="break-words text-foreground text-base leading-relaxed">50% reimbursement of your public transport subscription</li> <li class="break-words text-foreground text-base leading-relaxed">ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib</li> <li class="break-words text-foreground text-base leading-relaxed">Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth</li> <li class="break-words text-foreground text-base…
Compétences demandées
- machine learning
- llm
- r
- nlp
- python
- pytorch
- aws
- gcp
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