DoctolibMachine Learning Engineer Intern (x/f/m)
Doctolib is hiring a Machine Learning Engineer Intern (x/f/m) in Paris, France. Level rates it ; you can apply on Doctolib.
Level's read on this job
- Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
- The posting allows some remote work.
- Tools and skills the posting cites include Python, AI research and machine learning.
- Level lists 155 other open roles at Doctolib.
- The role was posted in the last few days.
AI in this role
Develop and experiment with machine learning models to optimize care pathways and healthcare technologies as an intern.
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.
How we rate this
Machine Learning Engineer Intern (x/f/m) at Doctolib rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $199k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where applied research was part of your work. What did you do?
- Tell me about a project where model optimization was part of your work. What did you do?
- Tell me about a project where healthcare technology was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Machine learning, Applied Research, Model Optimization, and Healthcare Technology. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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