Train new models and fine-tune existing ones to improve performance on our flagship product for detecting gynecological conditions in MRI scans.
Develop and contribute to tools for model training, evaluation, validation, and monitoring.
Prepare trained models for deployment in production environments.
Lead R&D projects and publish scientific research reports and papers.
Supervise the AI research team.
Report progress, key findings, and technical challenges to the management team, contributing to strategic decision-making.
PhD in Machine Learning, Computer Science, or a related field, or equivalent industry experience.
At least 5 years of hands-on experience in computer vision.
Experience of medical image analysis would be a strong plus.
Strong background in working with 3D imaging data.
Proficient in PyTorch.
Management experience is a strong plus.
Fluent in English, both written and spoken.
Here is the interview process :
Intro & fit interview - A first conversation with our two co-founders, Raphaelle and Elise, to discuss your background, motivations, and how we could work together.
Technical interview - A discussion and code review with Alexandre, our Lead Software Engineer, focused on your technical expertise.
Individual conversations - One-on-one meetings with each co-founder to go deeper into your vision, expectations, and way of working.
Final team meeting - A casual conversation with the whole team to ensure there’s a good match on both sides.
Rencontrez Laure, Head of Radioliogy
Rencontrez Elise, COO
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