Job ID: 21-13833 Responsibilities • 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. * This position is remote
