Machine Learning Engineer Intern
Paris · Levallois-Perret, Ile-de-France, France
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Internship — employment source
- Team
Engineering — team source
Department: Engineering
From the employer’s posting
What you’ll work on
Full postingDevelop and experiment with machine learning models for healthcare problems
Collaborate with ML engineers and researchers on applied research projects
Explore new model architectures and data processing techniques
Help improve medical practice efficiency through AI
From the employer’s posting
Develop and experiment with machine learning models to solve real-world healthcare challenges
Collaborate with ML engineers and researchers on applied research projects
Explore new model architectures and data processing techniques
Participate in improving medical practice efficiency through AI
What you’ll bring
All qualificationsCore experience
- Master's student with practical experience on ML problems
- Strong programmer, Python used by the team
- Fluent in English and French
Qualification wording
You are a Master's student with practical experience working on ML problems
You are a strong programmer (we use Python)
You are fluent in English and French
Education & alternatives
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)
Tools in this posting
- Python
Source — Tool mentions in context
- 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
Benefits in the posting
Full benefits wording- A flexible workplace policy offering both hybrid and office-based mode
- Lunch voucher with Swile card
- Reimbursement of public transportation
- The interview process
- A coding game online test
- Job details
- Internship
- 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!
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 26, 2026 · 3 days ago
- Recorded sightings
- 7
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Levallois-Perret, Ile-de-France, France
What we offer - A flexible workplace policy offering both hybrid and office-based mode - Lunch voucher with Swile card
More source context
- 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!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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