• Train and fine-tune machine learning models to improve performance on our flagship product for detecting gynecological conditions in MRI scans.

• Contribute to the development of tools for model evaluation, validation, and monitoring.

• Work on machine learning and computer vision R&D projects.

• Deploy your  trained models into production environments.

• Draft and publish scientific reports and research papers.

• Collaborate closely with the Lead AI scientist and Alexandre, our Lead Software Engineer, to design and test new approaches.

• Master’s degree or PhD in Machine Learning, Computer Science, or a related field.

• 1-2 years of hands-on experience in computer vision or deep learning (internships and academic projects included).

• Familiarity with medical image analysis and 3D imaging data is a strong plus.

• Proficient in Python and familiar with deep learning frameworks (ideally PyTorch).

• Curious, detail-oriented, and eager to learn from a multidisciplinary team.

• Fluent in English, both written and spoken.

Here is the interview process :

• Fit interview - A first meeting with our two co-founders, Raphaelle and Elise, to get to know you, your motivations, and your expectations.

• Technical interview - A discussion with Alexandre, our Lead Software Engineer, to explore your technical skills.

• Final team interview - A conversation with the whole team to make sure there’s a good mutual fit and to give you a chance to meet everyone.