Senior Machine Learning Engineer – Video AI

About the role

As a Senior Machine Learning Engineer for Video AI at Snke, you will develop and deploy applications that analyze video and sensor data from operating rooms to improve surgical workflows. You will collaborate with software developers and ML engineers to build services that extract insights and enable safer, more efficient surgical procedures. The role involves participating in the full machine learning development lifecycle, from data processing to model deployment.

Responsibilities

• Work on learning-based solutions for medical data analysis with a focus on surgical video processing such as event detection, image segmentation, and object detection.
• Participate in all phases of the machine learning development life cycle including requirements engineering, data processing, experimentation, and model training.
• Push the limits of intelligent software components for surgical procedure analysis using large amounts of video data.
• Shape the development and productization of AI-based video solutions for medical use-cases.
• Contribute to the team with creative ideas and an independent, self-responsible way of working.

Required skills

• Machine Learning
• Computer Vision
• Image Processing
• Python
• Experiment management
• Containerization
• Orchestration
• Data version control

Nice to have

• Cloud computing
• AWS
• MedTech industry experience

Qualifications

• Degree in Computer Science, natural sciences, or similar background
• PhD in a relevant area

Benefits

• 30 vacation days
• Flexible working hours
• Bike leasing
• Parking garage
• Subsidized company restaurant
• In-house café
• Urban Sports Club membership
• Team and company events

About the Company

Snke is a company focused on global healthtech, aiming to improve medical decisions and patient outcomes through a supportive, international team culture.