Drimva

Powertown

Machine Learning Engineer, Intern (Term-Time)

Boston · On-site · Internship · Posted Sep 5, 2026

About the job

Build AI- and data-driven systems to identify, evaluate, and operate battery storage opportunities and support electric-grid decisions.

What you'll do

  • Develop intelligence for 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 and develop new workflows for the industry.

Nice to have

  • Evidence of exceptional ability through research, projects, open-source work, startup building, competitions, technical writing, or shipped systems.
  • Experience with energy storage, utility data, tariffs, load analysis, grid infrastructure, electricity markets, forecasting, optimization, anomaly detection, agentic workflows, or AI-assisted research systems.

Tools

ML, AI, agents, LLMs

AI focus

Use AI, agents, LLMs, and automation to build research and decision workflows for storage and grid operations, while auditing AI outputs and exercising independent judgment.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)