Computer Vision Engineer

Responsibilities

• 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, concrete, pavement, drainage, pipes, signs, guardrails, and lane markings
• Combine information from drawings, specifications, and imagery, identifying discrepancies between sources.
• 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—

Remote - Full-time

Only for candidates based in Latam

• We are looking for a Computer Vision Engineer. Ryz Labs is partnering with a client building an AI-powered platform for automated quantity takeoff in heavy civil and highway construction
• As a Senior Computer Vision / ML Engineer, you'll own the
• “what is it?”
• problem—identifying materials, surfaces, and construction features from engineering drawings, PDFs, aerial imagery, and satellite imagery.
• You'll work closely with another engineering role focused on geometry and measurement, turning your detections into reliable, priceable quantities.

Build the ML infrastructure around the models

“not determinable” is better than a low-confidence guess

Required

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

Understanding of

• PDF internals, vector geometry, and/or document AI, or the ability to learn quickly.
• Strong written and verbal English.

Experience with

• geospatial imagery, construction, document AI/OCR, CAD vectorization, or autonomous vehicle perception
• 3D experience with photogrammetry, point clouds, terrain/surface models, or cut & fill

Experience across both

document vision and aerial/geospatial CV