(Senior) Machine Learning Engineer – Video AI

Job Description

• Work on learning-based solutions for a variety of tasks in medical data analysis with a particular focus on the processing of surgical videos (e.g. event detection, image segmentation, object detection and more)  
• Participate in all phases of the machine learning development life cycle (from requirements engineering and data processing to experimentation, model development/training, and ultimately deployment of solutions)  
• Push the limits of intelligent software components for surgical procedure analysis, making use of the ever increasing amounts of video data 
• Shape the development and productization of AI based video solutions for medical use-cases  
• Contribute to our success with your creative ideas and your independent and self-responsible way of working, ultimately impact the daily work of medical professionals around the world 

Qualifications

• Degree in Computer Science, natural sciences, or similar background  
• 3+ years of professional experience in using modern machine learning methods along with classic computer vision approaches to solve challenging problems in the area of image processing  
• Experience in state-of-the-art ML tooling related to experiment management, containerization, orchestration, processing pipelines and data version control.  
• Profound demonstrated experience in developing complex software systems in Python and/or other programming languages 
• Ideally, you gained this experience during a range of projects in an industrial setting, or you have worked on a PhD in a relevant area 
• Good knowledge in the setup and operation of cloud-based computing environments (ideally AWS) is a plus 
• Experience of working on AI-based products in the med tech industry is a plus 

Additional Information

• A supportive, international team connected by shared values and a culture of trust
• Meaningful responsibilities with a lasting impact on global healthtech, improving medical decisions and patient outcomes
• 30 vacation days, plus December 24th and December 31st
• Flexible working hours and a hybrid work model within Germany
• Bike leasing via our partner “BikeLeasing”
• Parking garage and secure underground bike storage
• Subsidized company restaurant and in‑house café
• Urban Sports Club membership with employer contribution
• Regular after‑work, team, and company events
• Centrally located, modern workspace with a 212 m² rooftop terrace

Ready to apply? We look forward to receiving your online application including your first available start date.

Contact person: Tatjana von Freyberg