Senior Machine Learning Engineer

We are hiring a Machine Learning Engineer to design, build, and deploy AI systems that sit at the core of Scaffold’s platform.

This is not a “model-only” role. You will operate as a product-minded engineer, working across data pipelines, model development, and production systems to deliver real-world impact.

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You will help define how AI is applied across:

• Workflow automation (POs, schedules, change orders)

• Data normalization and enrichment

• Predictive insights (delays, risk, capacity)

• Agent-based systems interacting with builder/trade ecosystems

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About Scaffold

Scaffold is building the data orchestration layer for residential construction. We integrate fragmented systems across builders, subcontractors, and suppliers to automate workflows, eliminate manual work, and unlock real-time decision-making.

We are now embedding AI deeply into this system — transforming raw, messy construction data into intelligent automation, predictive insights, and agent-driven workflows.

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‍What You’ll Do:

• Build AI-Powered Product Features

• 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

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• Own the End-to-End ML Lifecycle

• Ingest, clean, and structure messy third-party data

• Train, evaluate, and iterate on models in production

• Design feedback loops to continuously improve performance

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• Work Across the Stack

• Integrate ML systems into backend services and APIs

• Collaborate on data pipelines and infrastructure

• Partner with frontend engineers to expose AI capabilities in product

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• Drive Architecture & Strategy

• Evaluate model approaches (LLMs, fine-tuning, retrieval, traditional ML)

• Define scalable patterns for deploying AI across customers

• Contribute to long-term AI roadmap and product direction

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• Collaborate Cross-Functionally

• Work closely with product, engineering, and customers

• Translate ambiguous problems into production-ready solutions

• Provide technical leadership on AI initiatives

What We’re Looking For:

• Core 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

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• Preferred Experience

• Experience with:

• LLM frameworks (LangChain, LlamaIndex, etc.)

• Vector databases / retrieval systems

• Data processing at scale (Spark, Airflow, etc.)

• Exposure to real-world noisy data environments (not just clean datasets)

• Experience building internal tools or automation systems

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• Mindset

• Product-oriented: you care about outcomes, not just models

• Systems thinker: you design for scale and reliability

• Builder: you take ownership and move fast in ambiguous environments

• Curious: you stay on the frontier of AI capabilities

Why Join Scaffold?

• Impact: Play a critical role in defining and building the future of Scaffold and the residential construction industry.

• Growth Opportunity: Be an early leader in a venture-backed company.

• Culture: Work alongside high-caliber teammates in a no-ego, high-energy environment.

• ‍Compensation: Competitive salary and meaningful equity in the company.