As a member of the AI team you will work in close collaboration with full-time data scientists, doctors, data engineers and product owners to improve the deep learning algorithms powering our products. These algorithms include, but are not limited to, region detection, keypoints detection, registration and classification on both 2D and 3D medical images.
During the onboarding phase, you will familiarize yourself with our current solutions and learn the medical context in which you’ll have the opportunity to make an impact. In particular, you’ll learn about the pathologies we target, their patterns and the challenges that come with finding them.
Then, iteratively and with the continuous support of one of our AI engineer you will have your shot at improving our models. Several directions for improvement have already been selected and you’ll be encouraged to try your own ideas as well. This means you’ll learn from experts in the field of deep learning and work on state-of-the art algorithms.
Iterative improvement of our deep learning algorithms
Weekly scientific reporting with your tutor
Contribution to our internal deep learning codebase
Education in the field of machine learning, computer science, statistics and/or mathematics
Experience building and training DL models in a professional environment.
Good skills in python
Good skills in at least one deep learning framework, preferably pytorch
Proficiency in English (written and oral)
Knowledge of deep learning methods for computer vision
Experience with medical imaging (MRI, CT, X-ray, …) is a plus
Analytical and scientific mindset
Good communication skills
Passionate about medical applications of AI
On-site presence is required, at least during the first months of the internship.
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