Contract directly with the client
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.
What You'll Do- 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.
- Build the ML infrastructure around the models: 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—“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.
Nice to have:
- 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.
Skills Required
- 5+ years building and shipping production computer vision or machine learning systems
- Strong Python experience
- Strong 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 computer vision techniques
- Experience with messy, domain-specific data and human-in-the-loop systems
- Understanding of PDF internals, vector geometry, and/or document AI, or ability to learn quickly
- Strong written and verbal English
- Experience with geospatial imagery
- Experience in construction
- Experience with document AI or OCR
- Experience with CAD vectorization
- Experience with autonomous vehicle perception
- 3D experience with photogrammetry, point clouds, terrain or surface models, or cut and fill
- Experience across both document vision and aerial or geospatial computer vision
What We Do
Where startups soar! We're not just building startups - we're crafting the future. From ideation to execution, we provide the blueprint for startup success. We specialize in nurturing startups from the ground up, and supercharging existing ones with our top-tier technical talent solutions. Join us at Ryz Labs, where we turn promising ideas into thriving businesses. Let's shape the future of innovation together!
