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 to analyze radiological imaging data. You’ll work with modern deep learning frameworks and take responsibility in mission-critical ML design choices to ensure that models meet clinical and regulatory standards.

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

Benefits

• Flexible benefits budget
• Remote or office work in Berlin - Kreuzberg
• Collaborative and motivated team environment