Join Europe's leading healthcare technology company for a 6-month Machine Learning research internship in our Paris office. At Doctolib, you'll tackle real-world healthcare challenges using cutting-edge machine learning, working directly with our AI teams to impact millions of lives.
As a Machine Learning Research intern, you’ll be paired with ML engineers and researchers who act as mentors, collaborating with you on real-world projects.
We work with simple regressions as well as sophisticated LLM pipelines, we’ve shipped AI-native products and are pioneering the next wave of AI innovation in the health space. Your research will directly influence products used by 400,000+ healthcare practitioners serving 90 million patients across Europe.
About the Role
Machine learning is a key part of Doctolib's mission to improve healthcare. Healthcare is a complex and dynamic environment which creates unique opportunities for ML experimentation, allowing us to incorporate new ideas to improve patient care and medical practice efficiency.
Researchers at Doctolib are responsible for building models, strategies, and systems that optimize healthcare scheduling, the clinical documentation process, help practitioners gain time and improve the care they’re able to provide. The end goal is for improved health outcomes: healthier people, for longer, with greater autonomy.
We're looking for candidates with machine learning experience in either an applied or academic context. A good candidate should have a deep understanding of a wide variety of ML techniques, and be motivated to experiment with things like model architectures and data processing to generate novel healthcare insights or improve current systems.
At the end of your internship :
- You'll have gained an understanding of the differences between textbook machine learning and its application to complex, real-world healthcare data.
- You'll have learned to bridge the gap dealing with challenges like trustworthiness, accuracy and safety, transparency and explainability, data privacy, and multiple modalities.
Depending on the specific scope of your internship, it is possible that the research findings will be suitable for academic publication.
About You
You could be our next team mate if you are:
- A Master’s student with practical experience working on ML problems
- A strong programmer (we use Python)
- Enthusiastic about collaborative work
- Eager to ask questions, admit mistakes, and learn new things
- Interested in improving healthcare through technology
- Fluent in two of the following languages: English, French or German
Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions!
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
- An interview with our Talent Partner (30 minutes)
- A case study interview with the Hiring Manager (1 hour)
Details of the job
- Internship
- Duration : 6 months
- Start date : April 2025
- Location : Levallois-Perret
- Salary : To be defined
- Working mode : Hybrid - 3 days a week at the office
At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib or refer someone you know, regardless of your and their gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you!
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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
