- 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
Working Student – Surgical Video Analysis
München
Part-time
Intern / Student
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.
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
Contact person
Tatjana von Freyberg
Über uns
Mit Hauptsitz in München gestaltet Snke die Zukunft der digitalen Gesundheitsversorgung durch skalierbare, datengetriebene Innovationen auf Basis von KI und Big Data. Mehr als 350 Expert:innen aus den Bereichen Healthcare-IT, Visualisierung, Simulation, Data Science und Machine Learning arbeiten bei Snke an Lösungen, die leistungserbringende Einrichtungen, Fachgesellschaften, Patient:innen und Healthtech-Unternehmen befähigen, die datengestützte Patientenversorgung voranzutreiben. Neben dem Hauptsitz in München beschäftigt Snke weitere Kernteams in Chicago, Heidelberg und Tel Aviv. Snke stärkt damit die globale Zusammenarbeit, um intelligente, integrative und ganzheitliche Technologien zu entwickeln und befähigt Healthtech-Anbieter datengetriebene Innovationen zu skalieren.