Higharc
Research Engineer
Remote (United States) · Full-time
Sponsorship not specifiedDetected 113 days ago
TypeScriptPythonReactVector DatabasesMachine LearningPyTorchNLPComputer VisionLLMsRAGAutoCADResearchRevitBIM
About the role
- Join a founding team who've shipped products for Autodesk, Electronic Arts, Nike, and Apple.
- Higharc is hiring a Research Engineer to join our Special Projects team.
- ABOUT YOU You do your best work when you can go deep.
Responsibilities
- 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.
- 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 datasets, and establish eval pipelines that measure model performance against real homebuilding tasks rather than generic benchmarks.
- Deliver research outputs ready for integration, including documented model artifacts, serving-ready pipelines, and clear API contracts, and partner with the Prototyping Engineer to deploy fine-tuned models and RAG systems into the Higharc platform.
Requirements
- You do your best work when you can go deep.
- 5+ years of professional software engineering experience, with 2+ years directly on LLM development, fine-tuning, or applied ML systems in production
- Hands-on experience with model training frameworks (HuggingFace Transformers, PyTorch) and fine-tuning workflows on domain-specific corpora
- Practical experience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and embedding model selection
- Experience with 3D modeling, computational geometry, or computer graphics in a research or production context
- Strong proficiency in Python across the ML ecosystem
- React/TypeScript proficiency for integration work
- While we've identified the core experience and skills required above, please still apply if you have more or different experience than this!
Nice to have
- A Ph.D., particularly for candidates focused on model research and pre-training
- Open-source contributions or published research
- Familiarity with BIM tools (Revit, AutoCAD) or BIM data formats (IFC, gbXML)
- Experience with Three.js or equivalent 3D frameworks
- A major plus if you also bring:
Benefits
- A Master's degree in Computer Science, Machine Learning, AI, or a closely related field
- We offer flexible hours so you can do your best work without missing out on life.
- Higharc offers competitive salaries with significant equity, in a fast-growing, well-funded company.
Company info
- 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.
- Higharc is a VC-backed startup that is changing how new homes are designed and built.
- 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.
- 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.
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This listing is sourced directly from Higharc's careers page and normalized into a canonical job model.