(Senior) Machine Learning Engineer – Video AI
Posted on April 22, 2026 (about 1 month ago)
(Senior) Machine Learning Engineer – Video AI
Founded in 2020 and headquartered in Munich, Snke is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics. We specialize in large platforms, digital health and software-driven medical technology, empowering healthcare providers and partners with trusted orchestration layers.
Job Description
The large amount of data generated in modern operating rooms offers many opportunities for surgical process improvements, including documentation optimization, clinical education support, intelligent task automation and smart assistance tools to improve safety, quality and cost of surgical procedures. In this position you will work on the emerging topic of Surgical Workflow Analysis by combining video with other sensor data from the OR. Together with a team of software developers and machine learning engineers, you will create applications and services running on the Snke platform that extract data points to improve surgeries.
We are looking for a Machine Learning Engineer with experience in state-of-the-art ML training platforms and a strong software engineering background.
In this position, you will
- Work on learning-based solutions for medical data analysis with a focus on surgical video processing (event detection, image segmentation, object detection and more)
- Participate in all phases of the ML development lifecycle: requirements engineering, data processing, experimentation, model development/training and deployment
- Push the limits of intelligent software components for surgical procedure analysis using increasing amounts of video data
- Shape the development and productization of AI-based video solutions for medical use cases
- Contribute with creative ideas and an independent, self-responsible way of working to impact the daily work of medical professionals worldwide
Qualifications
Requirements and qualifications include:
- Degree in Computer Science, natural sciences, or similar background
- 3+ years of professional experience applying modern machine learning methods and classical computer vision approaches for image processing tasks
- Experience with ML tooling related to experiment management, containerization, orchestration, processing pipelines and data version control
- Proven experience developing complex software systems in Python and/or other programming languages
- Industrial project experience or a PhD in a relevant area is preferred
- Knowledge of cloud-based computing environments (ideally AWS) is a plus
- Experience working on AI-based products in the med tech industry is a plus
Additional Information
We offer a supportive international team, meaningful responsibilities with lasting impact on global healthtech, and benefits including 30 vacation days plus December 24th and 31st, flexible working hours and a hybrid work model within Germany, bike leasing, parking and secure underground bike storage, subsidized company restaurant and in-house cafe, Urban Sports Club membership contribution, regular events, and a centrally located modern workspace with a rooftop terrace.
Ready to apply? We look forward to receiving your online application including your first available start date.
How to Apply
Please apply online via the Snke careers page using the "Apply Now" option. Include your CV, relevant certificates and your first available start date.
Contact
Your HR contact person:
Tatjana von Freyberg
Manager Recruiting