Lead AI Research Engineer

Role Overview

Archiboost AI is building an AI co-pilot for the AEC industry — automating code compliance, structuring firm knowledge, and performing real-time QA/QC across complex building projects. As Lead AI Research Engineer, you will define and drive the core intelligence behind Archiboost: geometry understanding, BIM parsing, and semantic reasoning over regulatory codes. You will work at the frontier of applied ML — turning architectural drawings, models, and specifications into structured knowledge that powers compliance, design validation, and project intelligence.

What You'll Work On

• Novel ML architectures for geometric and spatial reasoning over architectural drawings
• Vector-native BIM parsing and structural understanding at scale
• Semantic rule mapping between regulatory code language and design artifacts
• Retrieval and reasoning systems over large, heterogeneous AEC datasets
• Evaluation frameworks for domain-specific AI performance and reliability
• Research to production pipelines for geometry, vision, and language models

Responsibilities

• Lead technical research on geometry, BIM, and multimodal AI for AEC workflows
• Design and implement novel model architectures suited to architectural data
• Drive the research-to-production pipeline for AI capabilities
• Collaborate with product and engineering to translate research into shipped features
• Establish evaluation standards and benchmarks for domain-specific AI
• Mentor engineers and contribute to the technical direction of the team

Required Qualifications

• 5+ years of ML/AI research or applied research engineering experience
• Strong publication record or equivalent industry research output
• Deep expertise in at least one of: computer vision, geometric ML, NLP, or multimodal learning
• Proficiency in Python and modern ML frameworks (PyTorch, JAX)
• Experience taking research from prototype to production

Preferred Qualifications

• Experience with architectural, BIM, or CAD data
• Familiarity with regulatory document understanding or structured knowledge extraction
• LLM fine-tuning, RAG, or agent system design
• PhD in ML, Computer Vision, Robotics, or related field

Why Archiboost AI

• Define the AI architecture for an entirely new category of software
• Work on genuinely unsolved problems in geometric and multimodal reasoning
• Partner with leading architecture firms and top-tier investors
• Join early, own the research agenda, and shape a category-defining company