Computer Vision Engineer

📋 Description

• Build CV/ML pipelines for engineering drawings, PDFs, aerial and satellite imagery.
• Extract information from both vector and raster PDFs, including degraded/scanned drawings.
• Develop detection and segmentation models for materials and infrastructure such as asphalt
• Combine information from drawings, specifications, and imagery, identifying discrepancies between
• Build the ML infrastructure around the models: labeling, datasets, evaluation, regression testing
• Work directly with domain experts to create ground truth and improve the system.

🎯 Requirements

• 5+ years building and shipping production Computer Vision / ML systems.
• Strong Python and PyTorch experience.
• Production experience with detection and segmentation on real-world imagery.
• Experience with aerial, satellite, drone, or comparable raster imagery.
• Strong knowledge of OpenCV and classical CV techniques.
• Experience with messy, domain-specific data and human-in-the-loop systems.

🎁 Benefits

• Nice to have: Experience with geospatial imagery, construction, document AI/OCR, CAD vectorization
• 3D experience with photogrammetry, point clouds, terrain/surface models, or cut & fill.
• Experience across both document vision and aerial/geospatial CV.