We are seeking a Senior Algorithm engineer with deep expertise in medical computer vision to join our dynamic R D team. This role involves developing state-of-the-art algorithms for registration, segmentation, tracking, and other imaging tasks. The ideal candidate will combine classical computer vision techniques with Machine Learning approaches, driving innovation from proof-of-concept through integration in a regulated medical product pipeline.
Requirements:
Advanced degree in Computer Science, Biomedical Engineering, or a related discipline; PhD preferred.
Minimum of 5 years experience developing computer vision algorithms, ideally in the medical imaging domain.
Hands-on experience with CT and/or fluoroscopy data and its associated challenges.
Expertise in Python, C ++, and ML frameworks (e.g., TensorFlow, PyTorch).
Experience working with CT and/or fluoroscopy data.
Familiarity with medical software lifecycle and regulatory standards.
Advanced degree in Computer Science, Biomedical Engineering, or a related discipline; PhD preferred.
Minimum of 5 years experience developing computer vision algorithms, ideally in the medical imaging domain.
Hands-on experience with CT and/or fluoroscopy data and its associated challenges.
Expertise in Python, C ++, and ML frameworks (e.g., TensorFlow, PyTorch).
Experience working with CT and/or fluoroscopy data.
Familiarity with medical software lifecycle and regulatory standards.
This position is open to all candidates.
