Advanced/Senior Machine Learning Engineer - Medical Imaging

Benefits

Additional Information

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

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