Research Engineer

🕒 March 30

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Higharc

11 - 50 employees

🏠 Real Estate

☁️ SaaS

💰 $21M Series A on 2021-04

Real Estate • SaaS

Higharc is a company that offers a comprehensive, cloud-based platform specialized for the homebuilding industry. The platform, known as the Homebuilding Cloud, streamlines the design, sales, and construction processes by providing real-time automation, 3D visualization, and centralized data management. This enables homebuilders to design, sell, and construct homes more efficiently while enhancing buyer experience and accelerating time-to-market. Higharc's solutions integrate seamlessly across various departments, aiding in everything from plan drafting and estimating to sales and marketing, contributing to significant time savings and increased operational efficiency for construction teams.

📋 Description

• conduct foundational research in spatial AI for residential construction • develop novel approaches at the intersection of reinforcement learning, computer vision, LLMs, and 3D geometry • produce research capabilities that power Higharc's AI platform • design and conduct original research in spatial reasoning for residential construction • apply computer vision techniques to extract semantic structure from architectural inputs • develop RL-based approaches for generative architectural design • deliver research outputs ready for integration • partner with the Prototyping Engineer to deploy fine-tuned models and RAG systems into the Higharc platform

🎯 Requirements

• 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 • A Master's degree in Computer Science, Machine Learning, AI, or a closely related field • A Ph.D., particularly for candidates focused on model research and pre-training is a major plus • Open-source contributions or published research is a major plus • Familiarity with BIM tools (Revit, AutoCAD) or BIM data formats (IFC, gbXML) is a major plus • Experience with Three.js or equivalent 3D frameworks is a major plus

🏖️ Benefits

• comprehensive medical, dental, and vision coverage • unlimited PTO • meaningful maternity/paternity leave to all U.S based employees that are full-time • stipend to create the ideal home office • competitive salaries with significant equity

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