Senior Machine Learning Engineer

Job Summary

Building reusable machine learning capabilities for utility clients, the full-time Senior Machine Learning Engineer will develop AI models, simulation engines, and grid-data toolkits in a remote work environment.

Key responsibilities:

• Own and develop reusable utility ML libraries for forecasting, disaggregation, and asset health, complete with evaluation harnesses
• Build and maintain a fast building-energy simulation engine and ensure its performance and validation methodology
• Establish grid-data toolkits for generating synthetic meter data and support demand-response program planning

Required qualifications:

• 5+ years of experience in applied machine learning on real-world signals, including forecasting and classification
• Strong skills in numerical and scientific computing, particularly in feature engineering and solver-level numerics
• Proficiency in Python and familiarity with Rust or a comparable systems language
• Experience in building versioned, tested, and documented libraries with user-friendly APIs
• Bachelor's Degree in a relevant field; a Master's is a plus