About the Role:
We're seeking an experienced AI/ML Engineer to lead the development of a system that can analyze floorplan images and convert them into 3D geometry.
As part of our roadmap, we're developing AI tools that accelerate design, quoting, and production workflows in the interiors industry. Your work will be crucial in bringing intelligent layout recognition to life.
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.
Requirements:
* Mid-Level: 3-6 years experience with deep learning frameworks (PyTorch, TensorFlow) and vision models (YOLO, UNet, Detectron, etc.).
* Senior Level: 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).
What You'll Love:
You'll work at the bleeding edge of vision + design automation, reducing time from inspiration to production in the interiors industry. Join a cross-functional team where AI connects directly to real-world manufacturing opportunities.