Senior ML Engineer
Core
Build production-grade machine learning solutions for energy market forecasting, optimization, and grid analytics to support utilities and corporate energy buyers.
Role type
Senior IC machine learning engineer (energy markets)
Builds
Scalable forecasting and optimization models for electricity markets, power hedging, and grid operations
Domain
Energy sector + machine learning
Deliverable
production ML models
Required skills
Python, time-series forecasting, machine learning frameworks, power systems domain knowledge, model deployment and monitoring, data validation, cross-validation methods
Preferred skills
Power trading experience, grid optimization (OPF, unit commitment), weather-driven forecasting, energy advisory/consulting background
Technologies
Python, ML frameworks, numerical weather prediction data, ensemble weather models
Responsibilities
Design and maintain ML systems for energy market forecasting; build end-to-end ML pipelines for data ingestion and model deployment; develop production models for nodal prices and renewable generation; monitor wholesale electricity and gas market developments; collaborate with power systems engineers to translate domain expertise into solutions; communicate model outputs to stakeholders and clients.
Seniority
Senior, hands-on IC