Doctolib

Machine Learning Engineer Intern

Paris · Levallois-Perret, Ile-de-France, France

Actively hiring, first seen by us 8 days ago

Pay: Pay not listed
Work setting: Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment: Internship — employment source
Job details Internship Duration: 6 months
Employment type: Internship
From the employer’s posting
Team: AI › Applied AI — team source
Department: AI › Applied AI
From the employer’s posting

Before you apply

New graduates: For current studentsJob title: Machine Learning Engineer Intern (x/f/m)

What you’ll work on

Full posting

Develop 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 qualifications

Core 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)

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.

Apply at Doctolib

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 26, 20268 days ago
Recorded sightings: 13
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 8

Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

Doctolib is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Its jobs tend to stay up a long time

Hiring record

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Python

Where the posting names them

- 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

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

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