About the Role
We are seeking a highly skilled AI/ML Engineer to lead the development of a system that can analyze floorplan images and convert them into 3D geometry.
This innovative project aims to drastically reduce the time from inspiration to production in the interiors industry by integrating AI with real-world manufacturing processes.
Key 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.
Required Skills and Qualifications
* 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.
Bonus Experience
* Experience with CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries.
* Knowledge of architectural drawing standards and conventions.