About the Role
As a skilled Machine Learning Engineer, you will lead the development of an AI system that can analyze floorplan images and convert them into 3D geometry. This project aims to accelerate design, quoting, and production workflows in the interiors industry.
**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 (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.
Experience Levels:
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
Why You'll Love This:
* You'll work at the bleeding edge of vision + design automation.
* Your work will drastically reduce the time from inspiration to production in the interiors industry.
* This role offers competitive compensation with opportunity to pioneer AI applications in manufacturing.