AI scientistTrain 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.