Medical Imaging AI Engineer

Location: 100% remote, BYODDuration: Initial 3-month B2B contract with a high likelihood of extension. Start: 15.06.2026 Summary: The main function of this role is to develop advanced algorithms that enhance cardiac interventions, integrating deep learning and computational geometry into medical imaging. Main Responsibilities: • 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. Key Requirements: • 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, are ideal. • 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.