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Role Overview:
- You will own the “what is it?” problem for identifying materials and features from imagery.
- You will collaborate with the geometry team to turn detections into quantities.
Key Responsibilities:
- Build and optimize CV/ML pipelines for engineering documents and satellite data.
- Develop detection and segmentation models for construction materials.
- Implement MLOps for labeling, evaluation, and regression testing.
Required Qualifications:
- 5+ years of experience in production CV/ML systems.
- Strong Python and PyTorch proficiency.
- Experience with detection and segmentation on real-world imagery.
Nice-to-Have:
- Background in geospatial imagery or construction.
- Experience with document AI or 3D models.