Senior Machine Learning Engineer

📋 Description

• Design and deploy machine learning models that operate on real-world construction data
• Develop LLM-powered workflows for document parsing, communication, and automation
• Build intelligent agents that interact with external systems (builder portals, ERPs)
• Ingest, clean, and structure messy third-party data
• Train, evaluate, and iterate on models in production
• Design feedback loops to continuously improve performance

🎯 Requirements

• 3–6+ years of experience in ML engineering, applied AI, or related roles
• Strong programming skills (Python required; familiarity with Node/TypeScript a plus)
• Experience building and deploying ML models in production environments
• Familiarity with LLMs, prompt engineering, and modern AI tooling
• Strong understanding of data pipelines, APIs, and distributed systems
• Experience with LLM frameworks (LangChain, LlamaIndex, etc.)

🎁 Benefits

• Impact: Play a critical role in defining and building the future of Scaffold and the residential
• Growth opportunity: Be an early leader in a venture-backed company
• Culture: Work alongside high-caliber teammates in a no-ego, high-energy environment
• Competitive salary and meaningful equity in the company