About the Role
As a AI/ML Engineer, you will lead the development of a system that can analyze floorplan images and convert them into 3D geometry. This includes designing and training deep learning models to extract spatial and semantic information from 2D floorplans, developing pipelines to convert detected geometry into structured 3D models, and collaborating with CAD and backend engineers to translate AI output into parametric geometry.
Key Responsibilities
* Design and train deep learning models to extract spatial and semantic information from 2D floorplans.
* Develop pipelines to convert detected geometry into structured 3D models.
* Work with vector data, 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.
Experience Levels
Mid-Level (3-6 years experience)
* Strong experience with deep learning frameworks and vision models.
* 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.
* Track record of deploying ML models in real-world manufacturing or design environments.
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.