About This Role
We are seeking a highly skilled 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 team, you will 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, and collaborate with CAD and backend engineers to translate AI output into parametric geometry.
* Main Responsibilities:
* Design and train deep learning models for extracting spatial and semantic information from 2D floorplans.
* Develop pipelines to convert detected geometry into structured 3D models.
* Collaborate with CAD and backend engineers to translate AI output into parametric geometry.
About You
To be successful in this role, you will have strong experience with deep learning frameworks (PyTorch, TensorFlow) and vision models (YOLO, UNet, Detectron, etc.), as well as experience in computer vision or document/image parsing.
You will also need to understand geometry-based learning and spatial context, and be able to translate model output into geometric representations.
What We Offer
* A Challenging and Rewarding Project: Work at the bleeding edge of vision + design automation, drastically reducing the time from inspiration to production in the interiors industry.
* Cross-Functional Team: Join a collaborative team where AI connects directly to real-world manufacturing.
* Competitive Compensation: Opportunity to pioneer AI applications in manufacturing.