Extracted from the posting
TL;DR
Senior ML Engineer, individual contributor, building production forecasting and optimization models for electricity markets, nodal prices, loads, and renewable generation. Work covers ingesting ISO, utility, and weather data, plus ML pipelines, monitoring, and releases. Stack centers on Python and time-series ML; collaborates with software engineers, data scientists, and power systems specialists.
The full posting
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Engineer based in the United States.
This role offers an opportunity to build production-grade machine learning solutions addressing complex challenges in the energy sector. You will develop forecasting and optimization models that help organizations navigate electricity markets, energy procurement, power hedging, and grid operations. Working at the intersection of machine learning, power systems, and energy economics, you will turn scientific and market insights into scalable analytical products. You will collaborate with software engineers, data scientists, energy economists, and power systems specialists. Your work will support utilities, hyperscalers, and corporate energy buyers responding to growing electricity demand driven by AI and data centers. This individual contributor position offers meaningful technical ownership in a fast-moving, client-focused environment.
Accountabilities
How Jobgether works:
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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