---
title: 'Staff Machine Learning Engineer - Retrieval (x/f/m) at Doctolib'
canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-retrieval-x-f-m-doctolib-paris-ggra5zh2t1wv'
type: 'job'
last_seen: '2026-09-11'
---

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

- **Company:** [Doctolib](https://feeny.ai/companies/doctolib)
- **Location:** Paris, France
- **Employment:** contract
- **Work type:** hybrid
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/doctolib/aad09418-d23e-48e9-9abd-6f521bc4295e

## Job description

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](https://careers.doctolib.com/ai-careers/).

Want to learn more about our tech culture and environment? Visit the[Doctolib Tech site](https://careers.doctolib.com/tech-doctolib/).

## 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

Our interview process

- Recruiter Screen (45')
- Live Coding Interview (75')
- System Design Interview (75')
- Behavioural Interview (75')
- Reference Check & Offer

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our[candidate experience page](https://careers.doctolib.com/tech-doctolib/getting-hired/).

Job details

- Permanent position
- Tech stack: Python, Elasticsearch, Solr, Vertex AI, vector search, embeddings
- Full-time
- Levallois-Perret, France
- Hybrid work setup (up to 2 remote days per week)
- 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. Join us in building the healthcare we all dream of!

## Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click[ici](https://doctolib.legal/B2C-Privacy-Policy-Career-FR). Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

## About Doctolib

## Company Overview
- **One-liner**: Doctolib builds digital healthcare solutions for health professionals and patients, including appointment booking, telemedicine, EHR, and AI-powered clinical assistants.
- **Entity Type**: Private (Series E; $816M total funding)
- **Headquarters**: Levallois‑Perret, France
- **Founded**: 2013
- **Founders**: Not publicly listed (the company was founded by a team including Stanislas Niox‑Chateau, but the profile attributes it to a founding group; official sources do not emphasise individual founder names – likely Roman Schué, Stanislas Niox‑Chateau, and others)

## Core Business
- **Primary industry**: Healthcare Technology / Healthtech
- **Target customers**: B2B (healthcare professionals, hospitals, clinics) and B2C (patients); primary markets in France, Germany, Italy, and the Netherlands
- **Mission/purpose**: “Build together the healthcare we all dream of” – a purpose‑driven company (société à mission) with seven social objectives including improving care teams’ quality of life, facilitating access to care, and developing prevention.

## Products & Services
- **Appointment Booking & Calendar Management**: 24/7 online booking, waitlist, reminders, delays, and calendar optimisation. Used by 420,000+ health professionals and 90M+ patients.
- **Clinical & Financial Suite (EHR)**: Electronic health records, document management, secure messaging, prescribing, billing engine, and insurance processing. Includes “Doctolib Médecin” for GPs and “Doctolib Kiné” for physiotherapists.
- **AI Assistants**:  
  - *AI Consultation Assistant*: Real‑time structured transcription and documentation (supported 5M consultations).  
  - *AI Phone Assistant*: Handles booking and patient messaging 24/7.  
  - *AI Health Assistant* (in Health Companion): Answers health questions, provides coaching, and guides care journeys.
- **Health Companion**: Patient app for prevention campaigns, early detection, personalised guidance, video consultations, and care‑journey tracking.
- **Practice Efficiency & Patient Acquisition**: Tools for patient base management, recalls/notifications, practice analytics, CRM integrations, and marketing visibility.
- **Cooperative Care (Siilo)**: Secure messaging, case management, and referral platform enabling care coordination across professionals (merger with Siilo in 2023).
- **Financial Solutions**: Simplifies complex billing and insurance workflows for healthcare professionals.
- **Tailor‑made Service & Advisory**: Custom support and advisory for healthcare institutions.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company; total funding $816M)
- **Key Metric**: Annual Revenue ~€257.6M (most recent available). Total funding $816M (Series E of $170.3M led by General Atlantic in March 2019, with prior rounds from Accel, Eurazeo, Bpifrance, etc.)
- **Notable Investors/Partners**: General Atlantic, Accel, Eurazeo, Bpifrance, and others. Partners include public hospitals (AP‑HP) and the French government (vaccination campaign support).
- **Growth Signals**:  
  - 90M+ patients and 420,000+ health professionals across Europe.  
  - 2,900+ employees (up from 2,618 reported earlier).  
  - Tech & Product team of 900+ engineers.  
  - 15M online appointments booked per month in France alone, half outside office hours.  
  - B Corp certification (goal achieved by 2024).  
  - Expansion into Italy (2021) and Netherlands (via Siilo merger 2023).  
  - AI adoption: AI Consultation Assistant supporting 5M consultations.

## Competitive Advantages
- **Deep Healthcare Specialisation**: Over a decade of domain expertise; solutions meet highest clinical standards (ISO 27001, HDS certified).
- **Localised Approach**: Products adapted to each country’s regulations, languages, and specialties while maintaining a unified platform.
- **Ecosystem Lock‑in**: Integrated suite covering scheduling, EHR, billing, telemedicine, AI, and care coordination – creating a one‑stop shop for professionals.
- **Scale & Network Effects**: Large patient base (80–90M) drives adoption by professionals, which in turn attracts more patients.
- **AI‑First Innovation**: Research lab partnered with top tech and clinical institutions; deploying AI for documentation, decision support, and patient engagement.
- **Purpose & Trust**: Certified B Corp and French “société à mission” with annual independent audits, reinforcing trust with users and regulators.

## Strategic Focus
- **AI‐Powered Efficiency**: Scaling AI assistants to reduce administrative burden (targeting 4.5 hours saved per week per GP).  
- **International Expansion**: Deepening footprint in Germany, Italy, and the Netherlands while maintaining leadership in France.  
- **Real‑World Impact**: Focus on prevention, early detection, and continuous care (Health Companion).  
- **Platform Consolidation**: Integrating care cooperation (Siilo) and financial solutions to create a seamless end‑to‑end experience.  
- **Talent & Culture**: Growing tech team, investing in AI research, and reinforcing mission‑driven culture to attract top engineering and product talent.

## Why Work Here
- **Purpose & Mission**: B Corp certified, purpose‑driven company with a clear social impact (improving healthcare access and quality of life for care teams).  
- **Tech Scale & Challenge**: Build platform used by millions, work with 900+ tech peers on cloud‑native (AWS), mobile, AI, and security at scale.  
- **Learning & Development**: Doctolib Academy for onboarding; continuous training in AI tools, soft skills, and leadership; transparent internal mobility.  
- **Benefits**:  
  - Health insurance 100% paid for you and children.  
  - 25 vacation days + up to 14 RTT days/year.  
  - Parent Care Program: one additional month of leave beyond legal parental leave.  
  - Free mental health coaching via Moka.care.  
  - Gym (on‑site in Paris) with group classes.  
  - Flexible workplace: hybrid or office‑based; work from EU/UK up to 10 days/year.  
  - Subsidised sports/creative class membership.  
  - Lunch vouchers (Swile card).  
  - Solidarity Days (2 days/year for health charities).  
- **Work Environment**: Transparent internal mobility, support for new managers, diversity & inclusion initiatives, and a strong emphasis on collaboration with healthcare professionals.  
- **Locations**: Paris, Nantes, Berlin, Milan, Amsterdam, and other EU cities.

## Sources
1. [careers.doctolib.com](https://careers.doctolib.com/) – Careers page with benefits, culture, and product descriptions.
2. [linkedin.com/company/doctolib](https://www.linkedin.com/company/doctolib) – Company details, financials, workforce, and reviews.
3. [careers.doctolib.com/tech-doctolib/](https://careers.doctolib.com/tech-doctolib/) – Tech team overview, AI and product details.
4. [media.doctolib.com](https://media.doctolib.com/image/upload/mkg/file/impact_report_en_digital.pdf) – 2024 Impact Report with detailed mission, impact metrics, and business model.

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