AI Engineer for Vision and Design Automation
This is an exciting opportunity to lead the development of a system that can analyze floorplan images and convert them into 3D geometry. As an AI/ML Engineer, you will design and train deep learning models to extract spatial and semantic information from 2D floorplans. You will develop pipelines to convert detected geometry into structured 3D models and work with vector data, PDFs, or raster images to detect key architectural features.
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
Requirements:
- Strong experience with deep learning frameworks (PyTorch, TensorFlow) and vision models (YOLO, UNet, Detectron)
- Experience in computer vision or document/image parsing
- Understanding of geometry-based learning and spatial context
Bonus Requirements:
- Advanced expertise in geometry-based learning, OCR with spatial context, and complex vision systems
- Proven ability to lead ML projects from conception to production
About This Role:
- You will work at the bleeding edge of vision + design automation
- Your work will drastically reduce the time from inspiration to production in the interiors industry
- Join a cross-functional team where AI connects directly to real-world manufacturing
What We Offer:
- Competitive compensation
- Opportunity to pioneer AI applications in manufacturing