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Associate Computer Vision Bengaluru

Augrade · Bangalore

📅 15/08/2026
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We are empowering people to go from concepts to construction within hours, enhancing collaboration in the world of atoms & pushing the boundaries of whats possible, for humanity over the next few decades. For phase 1, we're training foundational AI models that create building code-compliant BIM models, cost analysis & documentation from 2D building blueprints. We are a small team of 20+ and looking for people passionate about 3D generation/reconstruction. Were targeting $100B+ chance in constructions design, estimation, and planning softwareripe for disruption by AI-first platforms. If you're interested in joining an early stage AI startup building foundational models, geometric and physics engines from scratch to transform how the world designs and builds infrastructure, with real autonomy and the resources to solve hard problems, apply or reach out to us today. About the Role Were hiring an Associate Computer Vision Engineer to help build and improve systems that work with point clouds, scanned environments, and 2D images to 3D generation. This person will support the development of workflows that transform raw spatial data into structured, reliable outputs that can be used downstream in production environments. This position reports directly to our CTO and is well-suited for individuals with hands-on experience in working with point cloud data, early-career computer vision expertise, and a robust technical curiosity regarding 3D reconstruction, geometry, and real-world scene understanding. What youll do Build and improve computer vision workflows for point cloud, 2D and 3D scan data Work on problems related to 2D images to 3D generation, 3D understanding, geometry processing, and scene interpretation Clean, process, validate, and analyze raw spatial datasets Prototype models, heuristics, and pipelines for extracting structure from real-world scans Collaborate with engineering and product teams to turn research/problem-solving into practical w .
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