Python Developer - Medical Imaging

Amplifier AI is building a next-generation surgical planning platform powered by an internal imaging, segmentation, and 3D measurement engine. We are seeking a Python Developer to join our focused team of engineers, radiologists, and data scientists to develop core Python engine features that power 3D reconstruction and measurement logic for CT-based workflows. Your work will directly influence clinical decisions and patient outcomes in real hospital environments.

• Develop and maintain Python engine for 3D reconstruction and measurement logic using SimpleITK and VTK
• Handle DICOM series reading, validation of RAS origins and directions, and safe resampling while maintaining voxel-physical transforms
• Build surface generation from labels and implement distance, intersection, and clipping algorithms
• Create robust procedural tools for radiologists including measurement and QA logic
• Debug and handle edge cases in real hospital data with performance tuning and structured logging
• Own features end-to-end from problem understanding to validation on real clinical data
• Ensure pipeline reliability and robustness across messy real-world datasets

• Write clean, modular, typed Python code with strong understanding of 3D medical image fundamentals
• Understand origin, spacing, and direction concepts; know the difference between voxel space and physical space
• Enjoy debugging complex geometric edge cases and explaining reasoning clearly
• Experience with SimpleITK, VTK, or PyTorch is a strong plus
• Ability to dive deep and learn independently if lacking prior experience with required tools
• Nice to have: VTK surface/volume rendering experience, ML segmentation metrics knowledge (Dice, Hausdorff, nnU-Net), GPU acceleration and large-volume performance interest
• Provide GitHub portfolio or code samples demonstrating real coding ability

• Fully remote with EU time overlap required
• Communication in English or Ukrainian
• Competitive salary with optional stock options
• Clear path toward senior-level ownership and technical lead responsibilities
• Small team environment with thoughtful discussions and deep technical code reviews
• Emphasis on precision, reproducibility, and production-grade quality standards
• Fast-paced environment with engineering discipline where hospital needs and clinical data may adjust priorities