Snke is seeking a Senior Machine Learning Engineer – Video AI for an IT role based in München at a senior level. In this position, you will develop and deploy machine learning applications that analyze video and sensor data from operating rooms to improve surgical workflows. You will collaborate with software developers and other ML engineers to build services on the Snke platform, extracting insights for smarter, safer surgical procedures using modern ML training platforms and strong software engineering skills.
Core Responsibilities
- Work on learning-based solutions for medical data analysis, focusing on surgical video processing tasks such as event detection, image segmentation, and object detection.
- Participate in all phases of the machine learning development life cycle, spanning requirements engineering, data processing, experimentation, model training, and deployment.
- Drive the development and productization of AI-based video solutions for medical use cases to impact the daily work of medical professionals globally.
Background and Requirements
- Education required: A PhD or specialized diploma/degree in Computer Science, natural sciences, or a similar background.
- Experience required: 3+ years of professional experience applying modern machine learning methods and classic computer vision approaches to image processing problems.
- Practical familiarity with state-of-the-art ML tooling for experiment management, containerization, orchestration, processing pipelines, and data version control.
- Profound experience developing complex software systems in Python or other programming languages, ideally gained through industrial projects or a relevant PhD.
- Bonus skills include knowledge of cloud-based computing environments like AWS and prior experience in the med tech industry.
Benefits at Snke
The company offers a market competitive salary alongside a supportive, international team environment in München. Perks include 30 vacation days plus December 24th and 31st off, flexible working hours, a hybrid work model within Germany, bike leasing, a parking garage with underground bike storage, a subsidized company restaurant and in-house café, Urban Sports Club membership contributions, regular team events, and a modern workspace featuring a rooftop terrace.
Applicants should submit an online application including their first available start date. The contact person for this position is Tatjana von Freyberg.