Computer Vision Engineer

• Build CV/ML pipelines for engineering drawings, PDFs, aerial imagery, and satellite imagery
• Extract information from vector and raster PDFs, including degraded/scanned drawings
• Develop detection and segmentation models for materials and infrastructure such as asphalt, concrete, pavement, drainage, pipes, signs, guardrails, and lane markings
• Combine information from drawings, specifications, and imagery, identifying discrepancies between sources
• Build ML infrastructure around models, including labeling, datasets, evaluation, regression testing, confidence, and provenance
• Work directly with domain experts to create ground truth and improve the system
• Prioritize reliability and completeness, favoring “not determinable” over low-confidence guesses
• Own identification of materials, surfaces, and construction features for an AI-powered quantity-takeoff platform
• Collaborate with an engineering role focused on geometry and measurement to produce reliable, priceable quantities