Rapidly design and train deep learning models to solve clinical problems, such as anatomical segmentation, object detection, and image enhancement
Job Summary
Rapidly design and train deep learning models to solve clinical problems, such as anatomical segmentation, object detection, and image enhancement.
Adapt state-of-the-art Computer Vision algorithms to medical X-ray/video data and help build the initial data infrastructure.
Collaborate with data scientists, software developers, and partners to translate AI capabilities into scalable solutions and learn specific domain knowledge on the job.
Matching Summary
Rapidly design and train deep learning models to solve clinical problems, such as anatomical segmentation, object detection, and image enhancement.
Skills & Requirements
Must-have
Deep learning model prototyping
Computer Vision algorithms adaptation
Medical X-ray/video data
Python and PyTorch/TensorFlow proficiency
Object-oriented software programming
Segmentation, Object Detection, Classification
Nice-to-have
Medical Imaging experience
Video/time-series data handling
3D data processing experience
Leadership and mentoring skills
Presenting complex AI concepts
Key Requirements
5+ years experience in Computer Vision/Deep Learning
Bachelor's degree in CS, EE, Biomedical Engineering, or related
Strong technical skills in C++, Python, Java
Experience with large-scale software architecture design
Ability to read papers and reproduce results in code