About Us
We are building the future of digital manufacturing for interior spaces, transforming online 3D configuration into ready-to-machine outputs for kitchens, closets, and bathrooms. Our roadmap includes developing AI tools that convert floorplans into 3D layouts to accelerate design, quoting, and production workflows.
Job Description
We are seeking a highly skilled AI/ML Engineer to lead the development of a system that can analyze floorplan images (PDFs, DWGs, etc.) and convert them into 3D geometry --- walls, doors, windows, and more --- ready for our CPQ engine. You will develop core AI capabilities and work closely with our design automation and backend teams to bring intelligent layout recognition to life.
Responsibilities
* Design and train deep learning models to extract spatial and semantic information from 2D floorplans (images or vector files).
* Develop pipelines to convert detected geometry into structured 3D models (e.g., wall objects, door/window placement).
* Work with vector data (DXF/DWG), PDFs, or raster images to detect key architectural features.
* Collaborate with CAD and backend engineers to translate AI output into parametric geometry.
* Optimize models for speed, accuracy, and usability in real-world production environments.
* Create optimal cabinetry layouts and suggestions from data provided by designers.
Requirements
Mid-Level (3-6 years experience)
* Strong experience with deep learning frameworks (PyTorch, TensorFlow) and vision models (YOLO, UNet, Detectron, etc.).
* Experience in computer vision or document/image parsing.
* Understanding of geometry-based learning and spatial context.
* Ability to translate model output into geometric representations.
Senior Level (6+ years experience)
* Advanced expertise in geometry-based learning, OCR with spatial context, and complex vision systems.
* Proven ability to lead ML projects from conception to production.
* Experience with CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries (e.g., trimesh, Open3D).
* Track record of deploying ML models in real-world manufacturing or design environments.
* Project leadership and team mentoring experience.
Bonus Experience
* Experience with CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries.
* Knowledge of architectural drawing standards and conventions.
* Experience in manufacturing or design automation industries.