Senior Staff Machine Learning Engineer – Clinical – AI Teams (x/f/m)

Doctolib (Italy); Paris; Hybrid; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Free comprehensive health insurance

Parent Care Program

Mental health and coaching services

Remote policy adaptation for disabled

Flexibility days to work abroad

Sport club & creative classes subsidy

RTT days

Swile lunch voucher

Job summary

Doctolib is seeking a Senior Staff Machine Learning Engineer to lead the Clinical team's AI initiatives. You will shape the technical direction of clinical ML systems, from architecture to production deployment, with a focus on safety, efficacy, and regulatory compliance.

The role combines advanced R&D with strategic leadership, mentoring engineers, and collaborating with Product, Medical Affairs, Legal, and Compliance to meet GDPR/MDR and EU AI Act expectations.

Qualifications

• 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading multi-team initiatives.

Responsibilities

• Own the long-term technical roadmap for clinical ML systems.

Skills

Python

PyTorch/Transformers

LLM fine-tuning

Clinical NLP

RAG systems

ASR

AWS/GCP

Production ML

Communication skills

Leadership

Education

PhD in Computer Science/AI/Statistics

Tools

vLLM

Transformers tooling

Job 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.

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 medical, legal, and compliance teams to meet EU regulatory expectations (GDPR, MDR, upcoming EU AI Act) and market standards

Who you are

• 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 ability to align diverse stakeholders and explain complex technical decisions

Nice‑to‑have qualifications

• 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: one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through Moka.care
• Support for caregivers and workers with disabilities: 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 classes
• Up to 14 days of RTT
• Lunch voucher with Swile card

Job details

• Permanent position
• Full‑time
• Hybrid work mode (3 days/week in the office)
• Paris, France
• Start date: as soon as possible

Equal Employment Opportunity

At Doctolib, we are committed to improving access to healthcare for everyone. 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.