We are empowering people to go from concepts to construction within hours, enhancing collaboration in the world of atoms & pushing the boundaries of what’s 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 32+ and looking for people passionate about 3D generation/reconstruction.
We’re targeting $100B+ opportunity in construction’s design, estimation, and planning software—ripe 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 RoleWe’re 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 strong technical curiosity regarding 3D reconstruction, geometry, and real-world scene understanding.
What you’ll doBuild 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 workflows
Evaluate output quality and identify failure cases in noisy real-world data
Help improve internal tooling and repeatable processing pipelines
1–3 years of relevant experience in computer vision, 3D vision, robotics vision, or spatial data processing
Hands-on experience with point clouds is required
Familiarity with 2D images to 3D generation, CAD, reconstruction, SLAM, photogrammetry, or related 3D workflows is a plus
Strong programming skills in Python
Experience with common CV / ML libraries (for example OpenCV, PyTorch, NumPy)
Comfort working with messy, real-world technical datasets
Ability to explain technical tradeoffs clearly
Strong problem-solving ability and attention to detail
Experience with construction tech, BIM, LiDAR, or digital twins
Exposure to geometry libraries / 3D processing frameworks
Experience evaluating model or pipeline performance on production-style datasets
Familiarity with annotation, labeling, or spatial data QA workflows
