- Location
- Paris, Paris, France
- Type
- Contract
- Department
- Engineering
- Seniority
- Senior
- Education
- PhD
- Source
- Greenhouse
Description
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 online and offline performance objectives to reach new levels of healthcare professionals satisfaction
Leadership & Impact
- 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.
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 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
Now it would be fantastic if you 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
The interview process
- HR Screen
- Hiring Manager Interview
- Behavioral Interview
- Technical Questions
- Technical Case Study
- At least one reference check
Job details
- Permanent position
- Full-time
- Hybrid work mode (3 days/week in the office)
- Paris, France
- Start date: as soon as possible
If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
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Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
