Applied Research Engineer
Core
Turn spatial AI research into production capabilities for a generative floor plan engine used by homebuyers and builders.
Role type
Senior Applied Research Engineer (Spatial AI/Generative Design)
Builds
Production-ready components for a layout synthesis engine and generative floor plan system
Domain
Construction technology, Generative AI, Spatial Computing
Deliverable
production ML models
Required skills
Python, PyTorch, Geometric/Structured Data (floor plans, CAD, BIM, 3D geometry), MLOps, API Development, Evaluation Harnesses, Latency/Cost Optimization
Preferred skills
Architecture/Building background, Constraint Solvers (OR-Tools), AEC Software (Rhino, Grasshopper, Revit), Cloud Model Serving (AWS, Modal)
Responsibilities
Build component layers around the layout synthesis engine, automate model retraining pipelines, own latency and cost budgets, extend core research to new capabilities, partner on MLOps and deployment, mentor researchers and interns
Seniority
Senior, hands-on IC
