Future Opportunity -- Machine Learning Engineer

Company Description At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and [... source excerpt omitted ...] platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. As an algorithms engineer on the Ion project, you will join a team of robotics and software experts. You will play a lead technical role, working to conceptualize, design, and evaluate new aspects of a guidance software solution. This role focuses on the processing and fusion of diverse imaging modalities—including CT, CBCT, X-ray fluoroscopy, and real-time camera video streams—to improve surgical navigation and clinical outcomes. Drive the full cycle of the development of medical imaging analysis software, from clinical requirement analysis to pr [... source excerpt omitted ...] principles, ensuring data representativeness and model transparency. Support system integration and testing while generating formal design documentation and patent applications Qualifications MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related quantitative field. 5+ years of hands-on experience in algorithm development with a specialization in medical imaging and computer vision. Proficiency in Python and C++, with a deep understanding of modern software component design. Expert knowledge of ML frameworks including PyTorch and OpenCV. Practical experience with specialized libraries including MONAI, SimpleITK, and VTK/ITK. Hands-on experi