Senior ML Engineer (Energy & Utilities)

We are seeking a Senior ML Engineer that will build the AI models and underlying tools that power AZX's work with utility clients — reusable capabilities used across many client engagements. Underneath the models, you'll also build the infrastructure that makes them possible: a fast building-energy simulation engine, tools for reading real-time grid sensor data, and utilities for working with standardized building data formats — much of which we publish as open source, so some of the people using your work are outside engineers you'll never meet.

Rather than being assigned to one client account, you'll build the capabilities that every client-facing team draws on, and you'll join a specific project when your tools meet real-world data and need to be adjusted based on what actually happens in the field.

• Own the reusable utility ML libraries — forecasting, disaggregation, demand response, detection, and asset health — each shipped with its own evaluation harness and documentation.
• Build capabilities once as tested libraries with validation harnesses, so client pods deploy proven components (like meter disaggregation or load forecasting with abstention and monitoring built in) instead of reinventing them per engagement.