Machine Learning Research Intern • Entry-Level

Who you are

You are a Master's student with practical experience working on machine learning problems — you have a strong programming background, particularly in Python, and are eager to apply your skills in a real-world healthcare context. You are passionate about developing ethical AI technologies that can optimize care pathways for millions of patients across Europe. You thrive in collaborative environments and enjoy working within research teams to tackle complex challenges.

Desirable

Experience with machine learning frameworks or libraries is a plus, as is familiarity with agile methodologies. You are open to exploring new model architectures and data processing techniques, and you have a keen interest in improving medical practice efficiency through AI.

What you'll do

As a Machine Learning Research Intern at Doctolib, you will contribute to the development of AI solutions that transform healthcare access. Your responsibilities will include developing and experimenting with machine learning models to address real-world healthcare challenges. You will collaborate closely with ML engineers and researchers on applied research projects, participating in the iterative process of model development and optimization. You will also explore new model architectures and data processing techniques, contributing to the ethical application of AI across Doctolib's products.

What we offer

Joining Doctolib means being part of a mission-driven company that leverages AI to empower patients and healthcare professionals. You will have the opportunity to work in a dynamic and innovative environment, contributing to projects that have a meaningful impact on healthcare. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our teams.