Research Engineer
Core
Conduct foundational research in spatial AI for residential construction, developing novel approaches at the intersection of reinforcement learning, computer vision, LLMs, and 3D geometry.
Role type
Research Engineer (Spatial AI & Generative Design)
Builds
AI platform capabilities for residential construction, including generative design models and RAG systems.
Domain
Construction technology / Spatial AI / Generative Design
Deliverable
production ML models
Required skills
Reinforcement learning, Computer vision, LLM development and fine-tuning, 3D geometry modeling, RAG architectures, Vector databases, Python, React/TypeScript
Preferred skills
Ph.D. in ML/AI, Open-source contributions, Published research, BIM tools (Revit, AutoCAD), Three.js
Technologies
HuggingFace Transformers, PyTorch, Pinecone, Weaviate, pgvector, LoRA, QLoRA, adapter layers, IFC, gbXML
Responsibilities
Design and conduct original research in spatial reasoning for residential construction; Design end-to-end LLM training and fine-tuning pipelines; Apply computer vision techniques to extract semantic structure from architectural inputs; Develop RL-based approaches for generative architectural design; Define construction-domain benchmarks and build ground-truth datasets; Deliver research outputs ready for integration including documented model artifacts and API contracts.