Senior Machine Learning Engineer – Video AI

What You'll Do

As (Senior) Machine Learning – Video AI at Snke, you will develop and deploy machine learning applications that analyze video and sensor data from the operating room to improve surgical workflows, building services on the Snke platform that extract meaningful insights and enable smarter, safer surgical procedures.

Your Focus

• Learning-based solutions for medical data analysis, particularly surgical video processing (event detection, image segmentation, object detection).
• Participate in all phases of the machine learning development life cycle, from requirements engineering to deployment.
• Push the limits of intelligent software components for surgical procedure analysis using ever-increasing amounts of video data.
• Shape the development and productization of AI-based video solutions for medical use-cases.

What We're Looking For

• Degree in Computer Science, natural sciences, or similar background.
• 3+ years of professional experience using modern machine learning methods and classic computer vision approaches for image processing.
• Experience in state-of-the-art ML tooling: experiment management, containerization, orchestration, processing pipelines, data version control.
• Demonstrated experience developing complex software systems in Python and/or other languages.
• Good knowledge of cloud-based computing environments (ideally AWS) is a plus.

Why Snke

30 vacation days plus Dec 24 and 31, flexible hybrid working within Germany, bike leasing, Urban Sports Club, and a centrally located Munich workspace with a rooftop terrace.