Working Student - AI / ML

• Develop tools to statistically compare AI models
• Implement tools for identifying confounding variables and assess their impact on model results
• Support the design, testing and validation of medical imaging AI models
• Assist the ML engineers with day-to-day technical and operational tasks

• Background in Computer vision, Informatics, Statistics, (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
• Knowledge in Python and statistical methods, with a willingness to deepen your proficiency
• Structured and independent working style with a high level of reliability
• Good command of English in a professional environment

• 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 earliest possible start date.

We welcome applications from people of all backgrounds and identities. At Snke, we believe diversity drives innovation, helping us build smarter solutions and improve patient outcomes.