Senior/Lead Computer Vision Engineer

The role involves joining a team developing advanced AI-powered healthcare solutions focused on medical imaging and clinical workflows within a cloud-based platform.

• At least 3 years of experience developing deep learning models and computational geometry algorithms
• Experience deriving measurements and features from 3D segmentations
• Strong software development skills, especially in Python
• Background in medical image analysis (CT, MRI, ultrasound, or similar modalities)
• Experience with 3D data processing, mesh handling, and geometric feature extraction
• Hands-on experience with frameworks and libraries such as NumPy, SciPy, and PyTorch
• Solid understanding of algorithm optimization, numerical stability, and rigorous validation methodologies
• Ability to work effectively in cross-functional teams
• Strong communication skills and proactive approach

Nice to have:

• Experience with TypeScript
• Familiarity with AWS-based cloud environments and products
• Experience with VTK or similar 3D visualization and processing frameworks
• Understanding of medical software development processes and standards
• Research background or interest in advanced AI and imaging methods

• Develop algorithms combining deep learning, computational geometry, and medical imaging
• Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant workflows
• Design, train, and validate deep learning models and geometry-based methods for integration into a cloud-based healthcare platform
• Collaborate with Product and Engineering teams to translate clinical and business needs into robust algorithm designs
• Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical software development standards
• Continuously improve algorithm accuracy, robustness, and computational efficiency
• Contribute to research activities and exploration of new methods in AI and medical imaging