Senior ML Engineer

Skills

About the Role

You will design, build, train, and maintain machine learning models for production, supporting clients on power hedging and procurement of electricity, gas and other energy commodities. You will gather and validate power-sector datasets, build end-to-end ML pipelines for forecasting and grid analytics, productionize forecasting and optimization models with robust testing and monitoring, and work closely with software engineers, data scientists, energy economists, and power systems engineers. This is an individual contributor role.

Requirements

• Experience building and deploying ML models in production in power trading, energy procurement, commodity risk management, utility strategy, energy markets, or related roles
• Master's or Ph.D. in applied statistics, applied economics, computer science, or a related field
• Monitor real-time data for wholesale power markets, gas markets, congestion, basis, capacity, ancillary services, tariff developments, and regulatory changes
• Strong Python skills with ML frameworks and time-series forecasting techniques applied to the power industry
• Understanding of LLMs, predictive analytics, agent-based modeling, and time-series challenges such as non-stationarity, seasonality, data leakage, and cross-validation
• Ability to communicate model outputs and tradeoffs to non-technical audiences, including clients
• Experience working in a fast-moving, ambiguous environment
• Preferred: power and energy advisory/consulting experience or power product design
• Preferred: familiarity with weather-driven forecasting (NWP data, ensemble weather models) and grid optimization problems (storage dispatch, unit commitment, OPF)

Responsibilities

• Identify, gather, and validate appropriate datasets for power-sector applications, assessing uncertainties and data gaps
• Design, implement, and maintain end-to-end ML pipelines for energy market forecasting and grid analytics
• Productionize forecasting and optimization models such as nodal price, load, or renewable generation forecasts with testing, observability, and documentation
• Collaborate with power systems engineers and energy market analysts to translate research insights into scalable forecasting and optimization systems
• Contribute to technical design reviews, coding standards, and mentoring of best practices

Benefits

• Comprehensive nationwide medical, dental, and vision coverage
• Flexible vacation policy and ten company-wide holidays, plus annual winter break
• 16 weeks of fully paid parental and family leave
• Remote-friendly work culture with annual company-wide retreats
• Work-from-home setup reimbursement