Senior Computer Vision & Machine Learning Engineer (Medical Imaging)

Intuitive; Aubonne; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Intuitive in Aubonne, Switzerland, is seeking a Machine Learning Engineer to develop imaging-based intelligent robotic surgery innovations for the da Vinci platform. You will work on clinically relevant imaging methods and ML pipelines, from data collection to model development.

You will collaborate with a multidisciplinary team to deliver product-ready computer vision solutions and communicate results to stakeholders while solving complex problems in real time.

Aufgaben

• Understand clinical problems that can be solved by advanced and emerging imaging modalities and ML
• Develop and optimize advanced image analysis, computer vision, and machine learning algorithms and real-time image-processing pipelines for endoscopic and ex-vivo imaging systems
• Analyze data acquired with novel imaging systems
• Develop system concepts, which meet complex requirements
• Collaborate, 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
• Independently solve complex problems and share solutions
• Communicate results regularly to cross-functional audiences

Jobbeschreibung

Job Description

Primary Function of Position

The 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.

Roles and Responsibilities

• Understand clinical problems that can be solved by advanced and emerging imaging modalities and ML
• Develop and optimize advanced image analysis, computer vision, and machine learning algorithms and real-time image-processing pipelines for endoscopic and ex-vivo imaging systems
• Analyze data acquired with novel imaging systems
• Develop system concepts, which meet complex requirements
• Collaborate, 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
• Independently solve complex problems and share solutions
• Communicate results regularly to cross-functional audiences