Computer Vision Engineer

Job not on LinkedIn

🔥 15 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👁️ Computer Vision Engineer

👻 Ghost score 25%

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Logo of Ryz Labs

Ryz Labs

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Ryz Labs is a company focused on building startups from the ground up and assisting other startups in scaling their operations. They provide top-tier technical talent solutions to ensure that emerging businesses can thrive in a competitive market.

📋 Description

• 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

🎯 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 • 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

🏖️ Benefits

• Contract directly with the client • Remote work • Full-time schedule

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