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
