Senior ML Engineer (Fully Remote)

Relae; 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

• Seeking an AI/ML Engineer for our Power, Data and Innovation team.
• You will design, build, train, and maintain machine learning models for production.
• Work directly with clients on power hedging and energy commodity analysis.

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.

Qualifications

• Experience building and deploying ML models in production for power trading or energy markets.
• Master's or Ph.D. in applied statistics, economics, computer science, or related field.
• Strong Python skills with hands-on ML frameworks and time-series forecasting techniques.
• Comprehensive medical, dental, and vision coverage.
• Flexible vacation policy, holidays, and annual winter break.
• 16 weeks of paid parental leave and remote-friendly culture.

Relae

Relae helps organizations make high-stakes decisions in energy strategy, decarbonization, and natural capital. It combines scientific rigor with commercial fluency, investing in career growth and real ownership for its people.