Medical Imaging AI Engineer

Location: 100% remote, BYOD

Duration: 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.