Über
The Ion™ endoluminal system is Intuitive's new robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. The Ion R&D team is looking for a gifted engineer to contribute to our PlanPoint software and robot navigation, which together guide our physician users through the 3D structure of the lung, to take a biopsy at a target location. As a machine learning engineer on the Ion project, you will join a small team of experts in medical imaging, robotics, and software. You will play a lead technical role, working to conceptualize, design, and evaluate new solutions for medical image insights. You will contribute across the product development life cycle, taking algorithm concepts from initial prototypes to production software. Responsibilities: Work as part of a cross-functional team in a fast-paced, start-up-like business unit Develop new algorithms and software implementations for computer vision, sensor fusion, registration, machine learning, etc Prototype and iterate on designs, develop tests, and deliver high-quality software in Python and/or C++ Participate in failure mode assessment, to identify and implement robust hazard mitigation strategies Maintain practical knowledge of state-of-the-art computer vision and sensor fusion research literature Requirements: Master degree and 1 year experience; or a PhD; or equivalent experience Demonstrated expertise in medical image analytics, computer vision, or machine learning Exceptional working knowledge of Python and/or C++ programming Great communication, presentation, and documentation skills High levels of autonomy and technical ownership Preferred Qualifications: Expertise in object-oriented programming Knowledge of one or more of the following libraries and tools: PyTorch, TensorFlow, ITK, OpenCV, or other image insights toolkits Project experience in medical devices or another regulated industry
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.