Lead ML Engineer

We are seeking a **Senior ML Engineer** to own the machine learning function at Zero RFI — building, deploying, and continuously improving the models that power our construction intelligence platform. You will architect production ML systems, lead a growing team of engineers, and work directly at the intersection of deep learning, structured construction data, and the real\-world workflows of owners, contractors, and project teams. This is not a research role. You will ship models into production, measure their impact on active construction programs, and iterate fast. You will also be a technical lead — mentoring engineers, setting ML standards, and collaborating with our Principal Engineer on system architecture and platform integration. This is a rare opportunity to apply state\-of\-the\-art ML to one of the world's most data\-rich and underserved industries. **Key Responsibilities** ------------------------ **ML Engineering \& Production Systems** * Design, build, and deploy end\-to\-end ML pipelines — from data ingestion and feature engineering through model training, evaluation, and production serving — for AEC\-specific use cases including document intelligence, schedule analytics, and cost prediction. * Architect scalable ML infrastructure using modern MLOps practices: experiment tracking (Weights \& Biases, MLflow), model versioning, A/B testing frameworks, and automated retraining pipelines. * Build and maintain NLP/LLM pipelines for AEC document processing — RFI parsing and response generation, submittal log classification, contract risk extraction, and change order analysis. * Develop computer vision systems for construction drawing analysis, defect detection from site photography, and progress monitoring from reality capture data. * Deploy physics\-informed models and time\-series forecasting systems for project schedule prediction, cost escalation detection, and construction performance analytics. * Implement graph neural networks and geometric d