Senior Machine Learning Engineer
Location
Levallois-Perret, Île-de-France, France
Work type
Hybrid
Employment
Full Time
Experience
7+ years
Compensation
Compensation not disclosed
Posted
1d ago
Summary and responsibilities
Role overview
Summary
As a Senior Machine Learning Engineer in Patient Solutions, you will design and implement AI and ML systems to improve patient access to quality care and health management. Your role involves building large-scale retrieval pipelines, developing and fine-tuning LLM/VLM models, and orchestrating agentic AI systems to create measurable impact across Europe.
Your Impact
We are looking for a Senior Machine Learning Engineer to join the ML Engineering team in Patient Solutions. Your mission will be to improve how people access quality care and manage their health over time by building and leading AI and ML systems that create real, measurable impact. You will work in a feature team developing intelligent patient-facing solutions, from smart practitioner discovery to long-term care management, playing a key technical role in shaping how we scale our AI capabilities across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.
What you'll do
Design and implement ML and AI solutions aligned with patient product goals, covering search, retrieval, and personalized care pathways
Build and maintain large-scale retrieval pipelines, including hybrid search, embedding systems, vector databases, and multi-stage re-ranking architectures
Develop, fine-tune, and evaluate LLM and VLM models using techniques such as knowledge distillation, Mixture-of-Experts (MoE) architectures, and prompt engineering
Build and orchestrate agentic AI systems, integrating external data and capabilities through tools and MCP-based integrations
Define metrics aligned with product goals, run controlled end-to-end experiments using W&B, MLFlow, or Braintrust, and communicate findings to guide product and technical decisions
Deploy solutions to production in collaboration with our ML platform team, ensuring reliability, observability, and performance at scale, and act as a technical reference to elevate the team's standards and practices
Who you are
You'll be a great fit if you:
You have 7+ years of experience in Machine Learning, Deep Learning, or AI Engineering, with a strong track record of taking models from prototype to production at scale
You have strong experience in Information Retrieval and modern retrieval stacks: hybrid search (sparse + dense), large-scale embeddings and vector databases, multi-stage retrieval and re-ranking pipelines, RAG architectures, and tool/MCP-based integrations
You are proficient in LLM and VLM application development: fine-tuning, MoE architectures (via LiteLLM or Model Garden), knowledge distillation, prompt engineering, and systematic benchmarking of LLM/VLM systems
You have hands-on experience building and orchestrating agentic AI systems (e.g., using ADK)
You demonstrate strong scientific rigor: designing metrics aligned with product goals, running controlled experiments, and communicating results clearly to both product and engineering stakeholders
You have experience operating large-scale applications in production (monitoring, reliability, performance, observability), bring strong analytical skills, and approach your work with a user-first mindset.
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
Parent Care Program: receive one additional month of leave on top of the legal parental leave
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
Updated 1d ago
Candidate fit
Skills and qualifications
Additional skills
Experience
7+ years
How this role is positioned
Role classification
Job domains
Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
Compensation not disclosed
Benefits and perks
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
Doctolib
Team size
Growing team
Location
Levallois-Perret, Île-de-France, France
At Doctolib, we’re reinventing the daily lives of health professionals and empowering people to live healthier across Europe. More than 3,000 Doctolibers across France, Germany, Italy, the UK and the Netherlands are building a new generation of AI-powered technologies and services, trusted by 520 000 health professionals and over 90 million patients every day. AI is at the heart of how we build and how we work. At Doctolib, AI fluency is a core skill for every team member: we foster a culture leveraging AI to drive efficiency, quality, and impact at scale.
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Senior Machine Learning Engineer
Levallois-Perret, Île-de-France, France • Full Time