About Digital Manufacturing Transformation
We are seeking a talented AI/ML Engineer to lead the development of a system that can analyze floorplan images and convert them into 3D 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.
The ideal candidate will have strong experience with deep learning frameworks and vision models, as well as expertise in computer vision or document/image parsing.
We offer competitive compensation and opportunities for professional growth and development. You will work at the bleeding edge of vision + design automation, drastically reducing the time from inspiration to production in the interiors industry.
Requirements:
* 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
Mid-Level (3-6 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)
Bonus Experience
* Knowledge of architectural drawing standards and conventions
* Experience in manufacturing or design automation industries