Staff Machine Learning Engineer - Retrieval (x/f/m)

EngineersOfAI; France; Sur place; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Health insurance

Vacation days

RTT days

Résumé du poste

Doctolib is seeking a Staff Machine Learning Engineer - Retrieval to join our AI team and advance the Medical Knowledge Platform. You will ground clinical AI decisions in validated HAS guidelines and peer-reviewed studies, building robust retrieval systems that scale to massive medical knowledge.

You’ll contribute to clinical safety and reliability across Europe. You’ll design and maintain indexing pipelines, work on vector embeddings and re-ranking, and own end-to-end retrieval performance from

Qualifications

• Proven production experience building and scaling search and retrieval systems.
• Deep dual expertise in offline indexing and online retrieval across pipelines.
• Hands-on with Elasticsearch, Solr, Vertex AI, vector search and embeddings.
• Experience designing custom re-rankers and indexing pipelines.
• Senior or Staff level with autonomy and technical depth.

Responsabilités

• Build and own Doctolib’s Medical Knowledge Platform grounding AI decisions in medical sources.
• Design and maintain indexing pipelines and retrieval systems across the full stack.
• Operate at scale: handle 100M+ documents, 50+ req/s, sub-300ms latency.
• Develop deep RAG systems and robust retrieval evaluation frameworks.
• Work across vector embeddings, vector search, re-ranking, and query rewriting.

Connaissances

Search & retrieval systems

Senior/Staff level

Distributed systems

Outils

Elasticsearch

Solr

Vertex AI

vector search

embeddings

re-ranking

query processing

Rails

TypeScript

Java

Python

Kotlin

Swift

React Native

Description du poste

Set a new pulse for healthcare!

We are looking for a Staff Machine Learning Engineer - Retrieval to join our AI team working on Clinical decision support and Medical Knowledge.

Your mission will be to ground clinical AI decisions in validated, trusted medical sources from HAS guidelines and learned society recommendations to peer-reviewed clinical studies. You will work in a feature team developing Doctolib's Medical Knowledge Platform, contributing directly to the reliability and safety of AI-powered healthcare experiences used by hundreds of thousands of health professionals and millions of patients 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:

• Build and own Doctolib’s Medical Knowledge Platform, designing the systems that ground clinical AI decisions in validated medical sources (HAS guidelines, learned society recommendations, clinical studies)
• Design and maintain both indexing pipelines and retrieval systems, ensuring end-to-end ownership across the full retrieval stack
• Operate at scale: architect and optimize systems handling 100M+ documents, 50+ req/s, and sub-300ms latency requirements
• Build custom re-rankers, optimize query processing pipelines, and design robust retrieval evaluation frameworks
• Engineer deep RAG systems from the ground up - going well beyond off-the-shelf components to tackle real medical knowledge complexity
• Work across the full retrieval stack: vector embeddings, vector search, re-ranking, query expansion and rewriting

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, we still encourage you to apply.

You’ll be a great fit if you:

• Have proven production experience building and scaling search & retrieval systems in a real-world, high-traffic environment
• Bring deep dual expertise in both offline indexing and online retrieval; you own the full pipeline, not just one side of it.
• Are genuinely hands-on with the retrieval tech stack: Elasticsearch, Solr, Vertex AI, vector search, embeddings, re-ranking and query processing.
• Have gone beyond commodity RAG; you’ve built custom re-rankers, optimized indexing pipelines, or engineered query processing solutions that required real technical depth.
• Have operated at Senior or Staff level, with the autonomy and technical depth that comes with it.

It would be fantastic if you:

• Have experience working with medical knowledge sources, clinical databases, or healthcare information systems
• Have contributed to evaluation frameworks and benchmarks for retrieval quality or AI outputs in regulated or high-stakes environments
• Have worked in a multi-lingual retrieval context or with domain-specific ontologies

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