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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.
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