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 and learn about our first AI hackathon here!
You can also discover the topic you might work on during your internship here.
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!
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.
Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
Skills Required
- Currently pursuing a Master's degree
- Practical experience working on machine learning problems
- Strong programming skills in Python
- Fluency in English and French
- Ability to collaborate effectively
- Interest in improving healthcare through technology
- Willingness to ask questions, acknowledge mistakes, and learn
What We Do
Since Doctolib's creation in 2013, we have had one purpose: strive for a healthier world. 1. We aim to improve the daily lives of care teams by providing them with a new generation of technologies and services. 2. We aim to improve health for all, by offering a fast and frictionless journey for all care episodes, creating new ways for people to receive care and empowering them to become actors of their health. At Doctolib, we are honored to work in the healthcare field and we believe that innovation in healthcare should be handled differently. We apply 4 guiding principles in everything we do: 1. We create helpful solutions for care teams and people. 2. We serve everyone equally and create well-designed and accessible technologies. 3. We team up with our users to strive for a healthier world and act as one team. 4. We protect our users' privacy. It’s their health, their data. To achieve our purpose, we are assembling a team dedicated to improving healthcare, with a human-centric approach and an entrepreneurial mindset. www.doctolib.com
