AI/ML Engineer for Vision and Design Automation
We are seeking an experienced AI/ML Engineer to lead the development of a system that can analyze floorplan images (PDFs, DWGs, etc.) and convert them into 3D geometry. This includes walls, doors, windows, and more, ready for our CPQ engine.
* The ideal candidate will design and train deep learning models to extract spatial and semantic information from 2D floorplans (images or vector files).
* Pipelines will be developed to convert detected geometry into structured 3D models (e.g., wall objects, door/window placement).
* Vector data (DXF/DWG), PDFs, or raster images will be used to detect key architectural features.
* Collaboration with CAD and backend engineers will occur to translate AI output into parametric geometry.
* Models will be optimized for speed, accuracy, and usability in real-world production environments.
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.
Preferred 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.