AI / Machine Learning Research intern (x/f/m)
DoctolibFrance1 day ago
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We are looking for an AI Researcher intern to join the AI Lab team in France.
As an AI Researcher intern, your mission will be to work on ambitious research projects aimed at transforming how care is delivered. Specifically, you will contribute to developing patient similarity systems to improve clinical reasoning, medical decisions, and research.
Your responsibilities include but are not limited to:
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.
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.
As an AI Researcher intern, your mission will be to work on ambitious research projects aimed at transforming how care is delivered. Specifically, you will contribute to developing patient similarity systems to improve clinical reasoning, medical decisions, and research.
Your responsibilities include but are not limited to:
- Compare and evaluate different foundation models (multimodal) for patient representation
- Develop and optimize innovative similarity metrics for patient similarity search
- Structure the representation space using advanced techniques (disentanglement, invariance)
- Design search systems conditioned on text queries adapted to clinical needs
- Rigorously evaluate performance on medical tasks (prediction, generalization, out-of-distribution detection)
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 currently a PhD student in machine learning, artificial intelligence, or a related field
- You have solid expertise in deep learning and foundation models
- You are proficient in Python and standard machine learning frameworks
- You have demonstrated ability to conduct research independently
- You are passionate about applying AI to healthcare and improving patient care
- Have experience working with structured and unstructured health data
- Are familiar with biomedical ontologies (ATC, ICD)
- Have published in top-tier scientific conferences or journals
- 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
- Interview with a recruiter: An exchange to discover your background, motivations, and assess the fit of your skills with our needs
- Project presentation or research discussion: Exchange about your previous work or ideas for the project
- Technical interview with supervisors: In-depth discussion about your research skills and scientific interests
- 6-month internship (M2)
- Full-Time
- Paris
- Start date: Spring 2026
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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