Advancing the diagnosis and management of coronary artery disease using cutting-edge technology
Requirements
Strong understanding and proven track-record in machine learning, deep learning, generative modeling, computer vision and/or medical image analysis
Experience working on large-scale complex and/or scientific applications
Proficient in Python with PyTorch experience, and preferably also C++
Training deep learning models at scale on the cloud
Developing deep learning models for FDA-regulated SaMD products
Experience building deep learning models for 3D computed tomography data
Responsibilities
Solving cutting-edge scientific and technical challenges related to doing machine learning (deep learning) with a large amount of volumetric images
Implement and advance on the latest research from the computer vision/machine learning literature to solve meaningful problems
Intellectual ownership and specific lead responsibility related to research, design, development and testing of Machine Learning and Image Analysis algorithms
Work closely with cross-functional teams including Engineering, Clinical, Regulatory, Product and Program Management to deploy product-grade ML models
Educate people across groups and departments on ML and Image Analysis topics
Publish cutting edge research and keep up-to-date on latest research trends
Other
A PhD degree in computer science, engineering, math or similar technical field
1+ years related experience in Machine Learning, Computer Vision, Image Analysis, Deep Learning or related field in academia and/or industry