Senior ML Engineer, Power Systems & Energy Markets

4Curiosity; United States; Hybrid; USD 159,000 - 195,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision

16 weeks parental and family leave

Remote-friendly work culture

Home office stipend

Company-wide retreats

Job summary

Relae is seeking an AI/ML Engineer for the Power, Data and Innovation team. You will design, build, train, and maintain machine learning models for production and work with clients to provide insights on power hedging and energy procurement.

The role involves collaborating with software engineers, data scientists, energy economists, and power systems engineers to deploy models that support clients navigating AI-driven data center power challenges.

Qualifications

• 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 a Ph.D. degree 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 that could affect portfolio cost or reliability.
• Strong Python skills, with hands-on experience in ML frameworks and time-series forecasting techniques applied to the power industry, along with a solid understanding of current ML approaches — including LLMs, predictive analytics, and agent-based modeling — as well as time-series-specific challenges such as non-stationarity, seasonality, avoiding data leakage, and appropriate cross-validation techniques.
• Ability to translate model outputs and technical tradeoffs into clear communication for non-technical audiences, including Relea’s existing and prospective clients
• Experience working in a fast-moving, ambiguous environment where the product surface may evolve based on client needs

Responsibilities

• Leverage power systems data to identify, gather, and validate datasets for power-sector applications, including uncertainty assessment and data gaps; develop analytical approaches to mitigate them.
• Design, implement, and maintain end-to-end ML pipelines for energy market forecasting and grid analytics (data ingestion from ISO/utility feeds and weather sources, feature engineering, model training, evaluation, deployment, and monitoring).
• Productionize forecasting and optimization models such as nodal price, load, or renewable generation forecasts with robust testing and documentation; collaborate with cross-functional teams for safe releases.
• Collaborate with power systems engineers and energy market analysts to translate research insights into scalable forecasting and optimization systems.
• Contribute to design reviews, coding standards, and mentoring best practices with Tech & Software teams at Relae.

Skills

Python programming

Power ML in production

Real-time data monitoring

Clear communication

Ambiguity handling

Education

Master’s or PhD in statistics/economics/CS

Tools

Python ML libraries

Job description

Relae is seeking an AI/ML Engineer for the Power, Data and Innovation team. You will design, build, train, and maintain machine learning models for production and work with clients to provide insights on power hedging and energy procurement.

The role involves collaborating with software engineers, data scientists, energy economists, and power systems engineers to deploy models that support clients navigating AI-driven data center power challenges.