Lead AI Research Engineer

Lead AI Research Engineer

San Francisco, CAIn-Office, 5 Days/WeekFull-Time5–15+ years

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

• Ideal Candidate

• A researcher who thrives at the intersection of applied ML and real-world systems. You care about impact as much as rigor — and you want your work to show up in tools that professionals use every day.

• 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

• Role Details

Location

San Francisco, CA

Schedule

In-Office, 5 Days/Week

Employment Type

Full-Time

Experience

• 5–15+ years

• Compensation & Benefits

• Base salary range: $180,000–$280,000

• Meaningful equity stock options

• 401(k) with employer matching

• Excellent health insurance (90% employer-covered)

• Unlimited PTO

• Daily lunch and dinner provided in office

• Work alongside a world-class founding team

• Apply for this Position

• Applying for: Lead AI Research Engineer