- Remote, United States
- Remote
- Full-time · Senior
- $159K–$195K per year
Design, build, train, and maintain machine learning models for production in the energy sector.
Compensation
$159,000-$195,000 a year
Responsibilities
- Identify, gather, and validate datasets for power-sector applications
- Design, implement, and maintain end-to-end ML pipelines for energy market forecasting and grid analytics
- Productionize forecasting and optimization models with testing, observability, and documentation
- Collaborate with power systems engineers and energy market analysts to translate research insights into scalable systems
- Contribute to technical design reviews, coding standards, and mentoring best practices
Requirements
- Master's degree in applied statistics, applied economics, computer science, or a related field
- Ph.D. in a related field
- Nice to have: Power and energy advisory experience
- Nice to have: Weather-driven forecasting platforms
- Nice to have: Grid optimization problems