Working Student – Surgical Video Analysis

What you'll do

As Working Student – Surgical Video Analysis at Snke you will contribute to the development of cutting-edge AI solutions for surgical video analysis. Working closely with our Machine Learning team in Munich, you will help create and curate high-quality, diverse datasets that form the foundation for innovative AI applications improving surgical workflows and processes. Prepare high‑quality data for a wide range of AI development workflows Come up with innovative ways to annotate surgical videos using existing and open-source foundation models Support the design and validation of AI models and contribute to clear, structured documentation Assist the ML engineers in their daily operational tasks Accompany the full development cycle, from initial concept to final testing Utilize annotation and validation tools to ensure data and model quality

What we're looking for Background in Computer vision, Informatics, (Bio)medical imaging or a similar field Strong interest in medical imaging AI and a passion for driving innovation in the field Analytical mindset paired with strong teamwork and communication skills Python knowledge and the will to increase your proficiency Structured and independent working style with a high level of reliability Good command of English in a professional environment Why Snke 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 Flexible working hours and a hybrid work model within Germany Parking garage and secure underground bike storage Subsidized company restaurant and in-house café 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

About us

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