Working Student – Surgical Video Analysis

About Snke

Snke, established in 2020 and based in Munich, is building health technology products powered by AI and large-scale data analysis. The company focuses on platform-based digital health and software-enabled medical technology, creating an orchestration layer that helps healthcare providers, societies, registries, agencies, and other partners roll out advanced solutions for safer, more efficient interventions and better patient outcomes. In addition to Munich, the company has teams in Chicago, Heidelberg, San Diego, and Tel Aviv, and works through a globally connected, collaborative culture.

Role overview

In this working student position, you will support the Machine Learning team in Munich on surgical video analysis initiatives. The role centers on building and maintaining strong datasets that help power AI systems designed to improve surgical workflows and related processes.

Key responsibilities

• Build and prepare high-quality data for different AI development workflows.
• Explore new approaches for annotating surgical videos, including the use of existing and open-source foundation models.
• Assist in designing and validating AI models, while helping maintain clear and well-structured documentation.
• Support machine learning engineers with day-to-day operational work.
• Contribute across the full development lifecycle, from early ideas through final testing.
• Use annotation and validation tools to maintain strong data and model quality.

What they are looking for

• A background in computer vision, informatics, biomedical imaging, or a closely related discipline.
• A strong interest in medical imaging AI and a genuine motivation to help advance the field.
• An analytical approach, along with solid communication and collaboration skills.
• Python knowledge and a willingness to deepen your skills further.
• A structured, self-driven way of working with a high level of dependability.
• Very good English skills for professional communication.

Why join Snke

• Work in a supportive international team shaped by trust and shared values.
• Take on meaningful responsibilities that contribute to global healthtech and better medical outcomes.
• Benefit from flexible working hours and a hybrid working setup within Germany.
• Use the parking garage and secure underground bicycle storage.
• Enjoy a subsidized company restaurant and an in-house café.
• Participate in regular after-work activities, team gatherings, and company events.
• Work in a modern central office with a 212 m² rooftop terrace.

Application note

Applicants are asked to include their earliest possible start date with the online application.