Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m)

Doctolib; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Free comprehensive health insurance

25 days paid vacation plus RTT

Free mental health and coaching services

Lunch vouchers worth €8.50

50% reimbursement of public transport

Access to the best AI tools

Résumé du poste

Doctolib is hiring a Senior Machine Learning Engineer to join their Patient Solutions team. You will lead the development of AI and ML systems to enhance healthcare access, working on intelligent solutions and large-scale retrieval systems.

This position requires 7+ years of experience in ML and AI, with a focus on production-scale models and modern retrieval methods. The role offers a hybrid work setup, emphasizing both innovation and measurable impacts on patient care.

Qualifications

• Experience taking models from prototype to production at scale.
• Strong track record in modern retrieval stacks and hybrid search.
• Proficient in fine-tuning ML models and developing AI systems.

Responsabilités

• Design and implement ML and AI solutions aligned with patient product goals.
• Build and maintain large-scale retrieval pipelines.
• Deploy solutions to production in collaboration with the ML platform team.

Connaissances

Machine Learning

Deep Learning

AI Engineering

Information Retrieval

English Fluency

Formation

7+ years in Machine Learning or AI Engineering

Outils

Python

TypeScript

Java

Kotlin

Swift

React Native

Description du poste

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

Your responsibilities include but are not limited to:

• 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. You are fluent in English

It would be fantastic if you:

• Have experience in B2C marketplace environments


• Have experience in other ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference

Life at Doctolib Tech

Our solutions are built on a single fully cloud‑native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.

Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

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

Our interview process

• Recruiter Interview


• Feature Building Interview


• System Design Interview


• Behavioral Interview


• At least one reference check

Job details

• Permanent position


• Full‑time


• Location: Doctolib Paris office in Levallois-Perret


• Hybrid work setup (3 days/week in the office)


• Start date: as soon as possible

We welcome everyone

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, or 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.

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.