Medical Imaging AI Engineer

The role focuses on developing advanced algorithms that enhance cardiac interventions by integrating deep learning and computational geometry into medical imaging.

• At least 3 years of experience developing deep learning models and computational geometry algorithms, especially deriving measurements from 3D segmentations.
• Strong software development skills, particularly in Python, with experience in TypeScript and AWS-based cloud products.
• Background in medical image analysis (CT/MRI/Echo), including 3D data processing, mesh handling, and geometric feature extraction.
• Experience using frameworks such as Numpy, Scipy, PyTorch, and VTK.
• Solid understanding of algorithm optimization, numerical stability, and rigorous validation methodologies.

Nice to have:

• Familiarity with cloud-based architecture and deployment practices.
• Knowledge of regulatory processes in medical device development.

• Develop algorithms combining deep learning, computational geometry, and medical imaging.
• Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant planning workflows.
• Design, train, and validate deep learning models and geometry methods.
• Collaborate with Product and Engineering teams to translate clinical needs into robust algorithm designs.
• Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical device development standards.
• Continuously improve algorithm accuracy, robustness, and computational efficiency while contributing to research and exploration of new methods.