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

Doctolib; Paris; Híbrido; EUR 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free health insurance

25 vacation days

14 RTT days

Moka.care mental health

Abroad work up to 10 days

Lunch vouchers Swile

Sport club subsidy

Transport subsidy 50%

ParentCare program

DoctoGrowth plan

Disability accommodations

Relocation support

Descripción de la vacante

Doctolib in Paris seeks a Senior Staff Machine Learning Engineer to lead the clinical AI strategy within the AI & ML Department, shaping AI systems for better clinical decisions and patient care.

You will drive end-to-end ML delivery, establish rigorous evaluation, and build scalable production infra. The role blends deep R&D with strategic leadership, requiring collaboration with medical, legal and compliance teams in regulated healthcare.

Formación

• 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading multi-team 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/evaluation, ASR, RAG or RL.
• Expert in Python, PyTorch/Transformers for training, vLLM or similar for inference with production deployment.
• Exceptional communication skills to align stakeholders and explain technical decisions.

Responsabilidades

• Own the long-term technical roadmap for clinical ML systems and production patterns.
• Drive build vs buy decisions balancing custom development with foundation model APIs.
• Define safe rollout standards in healthcare: shadow testing, staged deployment, human-in-the-loop workflows.
• Lead design and implementation of LLM-powered clinical agents and evidence-grounded recommendations.
• Establish evaluation frameworks using real-world clinical data to ensure safety and accuracy.
• Build production infra: model/prompt versioning, guardrails, uncertainty quantification, cost optimization.
• Mentor engineers; lead cross-functional initiatives with Product, Medical Affairs, Legal, Compliance.
• Collaborate with medical, legal, and compliance teams to meet EU regulatory expectations (GDPR, MDR, AI Act).

Conocimientos

Python

PyTorch/Transformers

LLM evaluation

Clinical NLP

RAG systems

Reinforcement learning

Speech recognition

aws/gcp

Educación

PhD in Computer Science, AI, Statistics

Herramientas

AWS

GCP

Transformers

vLLM

Descripción del empleo

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,

• 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 (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

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.

regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

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Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.