ML Scientist Intern, Cleerly

• Currently enrolled in a PhD/MS degree in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field
• Research experience in applying machine learning / deep learning in medical imaging processing, i.e. segmentation, registration, classification, reconstruction, detection, etc
• Experience with Python, PyTorch, or TensorFlow
• Excellent interpersonal skills, cross-group and cross-culture collaboration

Desirable

• Join us for a full-time, 12-14 week paid internship that offers continuous learning, hands-on and collaborative experience
• You’ll be working in a multi-disciplinary, cross-functional Data Science team to research, analyze, and build our ML algorithms and pipeline. Daily responsibilities include:
• Research and develop prototypes of state-of-the-art machine learning models with applications in coronary CT angiography
• Conduct analyses of the algorithms and prototypes being researched and developed
• Present findings and recommendations to peers and other stakeholders
• Prepare patents and publications