AI Research Engineer - Medical Imaging

At Nano4Imaging, we are redefining image-guided therapy. Our mission is to make endovascular procedures safer, faster, and more precise through real-time MRI navigation. We combine cutting-edge medical devices with state-of-the-art artificial intelligence to enable interventions without ionizing radiation.

Tasks

• Develop and optimize AI algorithms for real-time MRI image processing.
• Design, train, and validate deep learning models for instrument detection, localization, segmentation, and tracking.
• Develop robust computer vision solutions for challenging MRI environments.Integrate AI models into our TRACKR navigation software platform.
• Build and maintain pipelines for data annotation, training, validation, testing, and performance benchmarking.
• Optimize AI models for real-time execution on GPU-based systems.
• Design and conduct experiments to evaluate algorithm performance using clinical and phantom datasets.
• Collaborate closely with software engineers, medical device specialists, physicists, and clinical partners.
• Support software verification, validation, and regulatory documentation for AI-enabled medical devices.
• Contribute to the continuous improvement of our AI development workflow, software architecture, and infrastructure.
• Stay informed about the latest developments in machine learning, medical imaging, and computer vision and help bring innovative ideas into our products.

Requirements

• M.Sc . or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, or a related field
• Strong programming skills in Python
• Experience with PyTorch/TensorFlow
• Solid understanding of machine learning, deep learning, and computer vision
• Experience with version control (Git) and modern software development practices
• Strong analytical and problem-solving skills
• Ability to work independently as well as in interdisciplinary teams
• Good written and spoken English