Noah Medical is at the forefront of medical robotics innovation, developing next-generation platforms for early diagnosis and treatment across multiple medical indications. We're seeking a Staff Engineer specializing in Machine Learning and Medical Image Analysis to join our dynamic team in San Carlos, California.
As a Staff Engineer, you'll play a crucial role in revolutionizing medical procedures using state-of-the-art technologies. You'll work closely with cross-functional teams, including product management and clinical engineering, to define and create the future of medical robotics. Your expertise in machine learning and medical image analysis will be instrumental in developing cutting-edge solutions that improve accuracy, efficiency, and consistency in medical procedures.
Key responsibilities include researching and prototyping advanced algorithmic and machine learning solutions, contributing high-quality software implementations for medical devices, and mentoring junior engineers. You'll also be involved in defining ML processes, building infrastructure, and drafting technical documentation and patent applications.
The ideal candidate will have a PhD in a relevant field (or an exceptional MS degree) with 8+ years of experience in algorithm development for machine/deep learning and medical image analysis. Proficiency in Python and deep learning frameworks is essential, and experience with C++ is valuable. A strong publication record in top conferences like CVPR or MICCAI is highly desirable.
This role offers a unique opportunity to make a significant impact in healthcare through innovative technology. You'll be working with a team of talented engineers and industry leaders from top healthcare companies, in an environment that values transparent communication, first-principle thinking, and data-driven decision making.
Noah Medical offers a competitive salary range of $175,200 to $219,000 USD, along with comprehensive benefits including health insurance, equity, and bonus programs. The position is hybrid, allowing for flexibility in work arrangements.
Join us in our mission to revolutionize medical robotics and make a lasting impact on patient care. If you're passionate about applying cutting-edge ML and AI technologies to solve complex medical challenges, we want to hear from you!