About the Role
As a Machine Learning Engineer, you will lead the development of a system that can analyze floorplan images and convert them into 3D geometry.
This involves designing and training deep learning models to extract spatial and semantic information from 2D floorplans, as well as developing pipelines to convert detected geometry into structured 3D models.
You will work with vector data, PDFs, or raster images to detect key architectural features and collaborate with CAD and backend engineers to translate AI output into parametric geometry.
Ongoing optimization of models for speed, accuracy, and usability in real-world production environments is also a critical part of this role.
The ideal candidate will have strong experience with deep learning frameworks and vision models, as well as expertise in computer vision, document/image parsing, and geometry-based learning.