Grid Intelligence ML Engineer Intern (Term-Time)

Powertown; Boston; On-site; PHP 6,270,000 - 11,285,000; Full time

Job summary

Powertown is seeking Machine Learning Engineers and Interns to build intelligence systems for battery storage and the electric grid. You will work on peak shaving, utility data, and forecasting to invent new AI-enabled workflows that optimize operating storage assets.

You will design agents to research, extract, compare, and propose next steps, turning raw grid data into actionable decisions. We expect you to actively use LLMs and automation, while maintaining strong judgment and rigorous audits

Qualifications

• Evidence of exceptional ability: original research, side projects, OSS work, startup building, or shipped systems.
• Experience with energy storage, utility data, tariffs, load analysis, peak shaving, grid infrastructure, forecasting or optimization.
• Ability to design AI-assisted research systems and agentic workflows for complex grid problems.

Responsibilities

• Build intelligence around peak shaving, load behavior, utility signals, and storage opportunities
• Create agents that research, extract, compare, reason, and propose next steps
• Turn grid data into decision systems
• Use AI aggressively, then audit it ruthlessly

Skills

ML engineering

Energy systems

Forecasting

Agentic workflows

Education

Bachelor's degree in Computer Science / AI / ML / Data Science

Tools

LLMs

Automation tools

Agent-based systems

Job description

Powertown is seeking Machine Learning Engineers and Interns to build intelligence systems for battery storage and the electric grid. You will work on peak shaving, utility data, and forecasting to invent new AI-enabled workflows that optimize operating storage assets.

You will design agents to research, extract, compare, and propose next steps, turning raw grid data into actionable decisions. We expect you to actively use LLMs and automation, while maintaining strong judgment and rigorous audits