• Develop and apply machine learning-based solutions for various tasks in 2D and 3D medical image analysis (e.g., image segmentation, landmark detection, object detection, and more)
• Push the boundaries of intelligent software components for medical procedure support, leveraging the growing availability of medical data
• Drive your creative ideas from initial prototypes to final product release
• Collaborate with a diverse team on challenging projects, building robust and scalable software while continuously learning from your colleagues
• Contribute to improving the daily work of medical professionals worldwide

• Degree in Computer Science, Mathematics, Physics, or a related field
• Ideally a PhD or relevant industry experience in a similar domain
• Experience working on AI-based products in the medical technology industry is a plus
• Proven track record of developing machine learning methods and computer vision algorithms to solve complex problems
• Strong curiosity for the details of machine learning approaches and the ability to adapt and improve them
• Familiarity with modern ML tooling, such as experiment management, containerization, orchestration, data processing pipelines, and data version control, is a plus
• Strong interest in and solid understanding of software engineering principles
• Proficiency in Python and basic knowledge of C++
• Fluency in English

• 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
• 30 vacation days, plus December 24th and December 31st
• Flexible working hours and a hybrid work model within Germany
• Bike leasing via our partner “BikeLeasing”
• Parking garage and secure underground bike storage
• Subsidized company restaurant and in‑house café
• Urban Sports Club membership with employer contribution
• 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