(Senior) Machine Learning Engineer (all)

As a Senior Machine Learning Engineer, you'll develop deep learning computer vision models for medical applications, designing, training, and validating ML solutions that analyze radiological imaging data to support accurate and efficient diagnoses.

Requirements

• Ph.D. or Master's in Computer Science, Machine Learning, Engineering, Mathematics, or a related quantitative field.
• 3+ years of industry experience specifically focused on computer vision for medical applications.
• Expertise in Python and PyTorch, with a deep understanding of medical image processing techniques and data formats.
• Strong theoretical and practical understanding of modern computer vision architectures for 3D image segmentation and object detection (e.g. CNNs, ViT).
• Familiarity with at least two of the following areas: Self-supervised or semi-supervised learning, Computer vision foundation models, Anomaly detection, Active learning.
• Proven ability to contribute to large-scale codebases and handle complex datasets in a collaborative environment.
• Commitment to robust software engineering practices: including version control (Git), unit testing, CI/CD, and writing clean, maintainable code.

Benefits

• Flexible personal benefits budget
• Freedom to work remotely or from the office in Berlin - Kreuzberg