Remote Senior ML Engineer: Energy Forecasting & Trading

Relae Ltd.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Parental leave (16 weeks)

Job summary

Relae helps organizations make high-stakes decisions in energy strategy and decarbonization, delivering ML-powered insights for power hedging and energy analytics. The AI/ML Engineer will design, train, and maintain production ML models, collaborating with clients to translate research into scalable systems.

You will work in a remote-friendly U.S. team, apply time-series forecasting techniques, and leverage Python-based frameworks to push models from research to production while aligning with

Qualifications

• Master's or Ph.D. in applied statistics, economics, computer science, or related field.

Responsibilities

• Leverage deep understanding of power systems data to identify and validate datasets.
• Design and implement end-to-end ML pipelines for energy forecasting and grid analytics.
• Collaborate with cross-functional teams to translate research into production systems.

Skills

Python

Time-series forecasting

Production ML deployment

Energy markets

Education

Master's degree (applied statistics/economics/CS)

PhD (preferred)

Job description

Relae helps organizations make high-stakes decisions in energy strategy and decarbonization, delivering ML-powered insights for power hedging and energy analytics. The AI/ML Engineer will design, train, and maintain production ML models, collaborating with clients to translate research into scalable systems.

You will work in a remote-friendly U.S. team, apply time-series forecasting techniques, and leverage Python-based frameworks to push models from research to production while aligning with