ph3Job Description /h3pbPrimary Function of Position /b /ppThe Machine Learning Engineer is an integral part of the Aubonne engineering group and will work on developing products that help us invent the future of imaging-based intelligent robotic surgery. This position is primarily responsible for developing clinically relevant novel medical imaging methods for the da Vinci® platform and for preclinical test systems. The role includes data collection, modelling, development of algorithms and pipelines for new imaging modes, ML training and inference. /ppbRoles and Responsibilities /b /pulliUnderstand clinical problems that can be solved by advanced and emerging imaging modalities and ML /liliDevelop and optimize advanced image analysis, computer vision, and machine learning algorithms and real-time image-processing pipelines for endoscopic and ex-vivo imaging systems /liliAnalyze data acquired with novel imaging systems /liliDevelop system concepts, which meet complex requirements /liliCollaborate, coordinate, mentor, and lead engineers in a multidisciplinary team to develop product-ready computer vision and machine-learning solutions while meeting technical requirements and schedules /liliIndependently solve complex problems and share solutions /liliCommunicate results regularly to cross-functional audiences /li /ul /p #J-18808-Ljbffr
Senior Computer Vision & Machine Learning Engineer (Medical Imaging) Arbeitgeber: Intuitive
Intuitive ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten, das sich auf die Verbesserung der Patientenversorgung konzentriert. Mit einem starken Fokus auf persönliche und berufliche Entwicklung, flexiblen Arbeitsmodellen und einer unterstützenden Teamkultur fördert Intuitive das Wachstum seiner Mitarbeiter und bietet ihnen die Chance, an der Spitze der medizinischen Technologie zu stehen. Die Position des Clinical Territory Associate ermöglicht es Ihnen, direkt zur Transformation der Gesundheitsversorgung beizutragen und dabei wertvolle Erfahrungen in einem globalen Unternehmen zu sammeln.
