Senior Staff ML Engineer — Healthcare AI Architect

Doctolib; Paris; Hybrid; EUR 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Vacation 25 days + RTT

Lunch vouchers

Relocation support

DoctoGrowth program

Flexible remote days

Job summary

Doctolib is seeking a Senior Staff Machine Learning Engineer to lead the Technical Strategy for clinical ML at the AI & Machine Learning Department. You will shape production-grade AI in healthcare, from R&D to deployment, guiding multi-team initiatives and ensuring clinical safety and efficacy.

You will own end-to-end ML delivery, build LLM-powered clinical agents, and set up robust evaluation and governance to meet EU healthcare regulations. Paris-based hybrid work is offered.

Qualifications

• 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex initiatives.
• PhD in Computer Science, AI, Statistics, or related field (or equivalent).
• Expertise in at least two of clinical NLP, LLM fine-tuning/evaluation, ASR, RAG, or RL.
• Proficient with Python and PyTorch/Transformers; production ML deployment experience.
• Exceptional communication and stakeholder alignment skills.

Responsibilities

• Own long-term technical roadmap for clinical ML systems and production deployment patterns.
• Lead design of LLM-powered clinical agents and evaluation frameworks using real-world data.
• Define safe, regulated rollout standards and cost-optimized infra with observability.
• Mentor engineers and lead cross-functional work with Product, Medical, Legal, and Compliance teams.

Skills

ML leadership

PhD in CS/AI

Clinical NLP

LLM fine-tuning

ASR

RAG systems

Reinforcement learning

Python

PyTorch/Transformers

Production ML systems

Communication skills

Education

PhD in Computer Science / AI

Tools

vLLM

AWS

GCP

PyTorch

Transformers

Job description

Doctolib is seeking a Senior Staff Machine Learning Engineer to lead the Technical Strategy for clinical ML at the AI & Machine Learning Department. You will shape production-grade AI in healthcare, from R&D to deployment, guiding multi-team initiatives and ensuring clinical safety and efficacy.

You will own end-to-end ML delivery, build LLM-powered clinical agents, and set up robust evaluation and governance to meet EU healthcare regulations. Paris-based hybrid work is offered.