- Remote, United States
- Remote
- Full-time · Senior
- $159K–$195K per year
Build production-grade machine learning solutions addressing complex challenges in the energy sector, focusing on forecasting and optimization models for electricity markets, energy procurement, power hedging, and grid operations.
Compensation
Annual salary range of $159,000–$195,000 USD.
Responsibilities
- Design, develop, and maintain machine learning systems for energy market forecasting and grid analytics
- Identify, collect, assess, and validate power systems datasets
- Build and maintain end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring
- Develop and productionize forecasting and optimization models (nodal electricity prices, energy loads, renewable generation forecasts)
- Implement robust testing, observability, documentation, and automated evaluations
Requirements
- Master’s degree or Ph.D. in Applied Statistics, Applied Economics, Computer Science, or a related field
- Nice to have: Power and energy advisory or consulting
- Nice to have: Power product design
- Nice to have: Weather-driven forecasting methods
- Nice to have: Numerical weather prediction data