Senior Staff Machine Learning Engineer - Clinical - AI Teams (x/f/m) Ajouter aux favoris
- 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.
- You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
- You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
- You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
- You are expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)
- You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions
- 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
- Free comprehensive health insurance (basic package) for you and your children
- 25 days of paid vacation per year, plus up to 14 days of RTT
- Free mental health and coaching services through our partner Moka.care
- Work from abroad for up to 10 days per year thanks to our flexibility days policy
- Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
- A subsidy from the work council to refund part of the membership to a sport club or a creative class
- 50% reimbursement of your public transport subscription
- ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib
- Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
- For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
- Relocation support in case of international mobility
- Access to the best AI tools for coding, development and dedicated training
- HR Screen
- Hiring Manager Interview
- Behavioral Interview
- Technical Questions
- Technical Case Study
- At least one reference check
- Permanent position
- Full-time
- Hybrid work mode (3 days/week in the office)
- Paris, France
- Start date: as soon as possible
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