Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
Demonstrated experience with Python and analysis of image-like data.
Strong knowledge in supervised machine learning and semi-supervised machine learning.
Excellent communication and collaboration skills.
Optional but preferred qualifications:
Strong knowledge of classical image processing or computer vision.
Good knowledge of Generative Adversarial Networks.
Previous experience in medical image processing.
Familiar with Pytorch lightning.
Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.