---
title: 'Machine Learning Engineer Intern (x/f/m) at Doctolib'
canonical: 'https://feeny.ai/job/machine-learning-engineer-intern-x-f-m-doctolib-paris-rkyh23s2e54g'
type: 'job'
last_seen: '2026-10-30'
---

# Machine Learning Engineer Intern (x/f/m) at Doctolib

- **Company:** [Doctolib](https://feeny.ai/companies/doctolib)
- **Location:** Paris, France
- **Employment:** internship
- **Work type:** hybrid
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-30
- **Apply:** https://jobs.ashbyhq.com/doctolib/1a05fc07-99a5-4148-8b34-2b644d9ed030

## Job description

We are looking for a Machine Learning Research Intern to join the Doctolib’s Artificial Intelligence teams.

As a Machine Learning Research Intern, your mission will be to contribute to developing AI solutions that transform access to healthcare and improve the experience of healthcare professionals and patients. You will work within a research team developing ethical AI technologies to optimize care pathways for millions of patients across Europe.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Your responsibilities include but are not limited to:

- Develop and experiment with machine learning models to solve real-world healthcare challenges
- Collaborate with ML engineers and researchers on applied research projects
- Participate in improving medical practice efficiency through AI
- Explore new model architectures and data processing techniques

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision[here](https://careers.doctolib.com/ai-careers/) and learn about our first AI hackathon[here!](https://medium.com/doctolib/building-for-healthcare-our-first-ai-hackathon-aa9d10d1a250) You can also discover the topic you might work on during your internship [here](https://res.cloudinary.com/paulineb/image/upload/v1793092620/Employer_branding/Machine_learning_internship_booklet.pdf).

## 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 are a Master's student with practical experience working on ML problems
- You are a strong programmer (we use Python)
- You are enthusiastic about collaborative work
- You are eager to ask questions, admit mistakes, and learn new things
- You are interested in improving healthcare through technology
- You are fluent in English and French

## What we offer

- A flexible workplace policy offering both hybrid and office-based mode
- Lunch voucher with Swile card
- Work Council subsidy to refund part of sport club membership or creative class
- Reimbursement of public transportation

The interview process

- A coding game online test
- An interview with our Talent Partner (30 minutes)
- A technical interview (1 hour)
- An interview with the hiring manager (45 min)

Job details

- Internship
- Duration: 6 months
- Start date: April 2027
- Location: Levallois-Perret
- Working mode: Hybrid - 3 days a week at the office

If you would like to find out more about tech life at Doctolib, feel free to read our latest[Medium blog articles](https://medium.com/doctolib)! 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, 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! All information provided is processed by Doctolib for application management. For data processing details, click[here](https://media.doctolib.com/image/upload/v1678356494/legal/Career-Privacy-Policy-Feb-23-EN.pdf). 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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