Research Engineer
ABOUT US
Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who’ve shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised a total of $83M with support from top-notch venture capital firms and more than 18 strategic investors—industry leaders in construction, building products manufacturing, and distribution.
Higharc is hiring a Research Engineer to join our Special Projects team. In this role, you'll conduct foundational research in spatial AI for residential construction — developing novel approaches at the intersection of reinforcement learning, computer vision, LLMs, and 3D geometry to solve problems that have no off-the-shelf solutions.
WHAT YOU'LL DO
You'll produce the research capabilities that power Higharc's AI platform, working on problems that don't exist anywhere else. Expect to:
- Design and conduct original research in spatial reasoning for residential construction, developing models that understand architectural structure, spatial relationships between building components, and the geometric constraints that govern how homes can be built.
- Design end-to-end LLM training and fine-tuning pipelines tailored to construction domains, developing domain-specific pre-training and SFT datasets from architectural drawings, building codes, product specifications, and construction documentation.
- Apply computer vision techniques to extract semantic structure from architectural inputs and develop multimodal training pipelines that link visual and textual representations of building data, enabling models that reason across drawings, specifications, and code requirements simultaneously.
- Develop RL-based approaches for generative architectural design and architect RAG systems that ground LLM outputs in authoritative construction knowledge bases, reducing hallucination for high-stakes building decisions.
- Define construction-domain benchmarks, build ground-truth d...