Machine Learning Engineer, Intern (Term-Time)

Powertown is hiring Machine Learning Engineers and Interns to build intelligence systems for battery storage and the electric grid. The role focuses on developing AI- and data-driven systems for peak shaving, utility signals, storage opportunities, forecasting, optimization, and agentic workflows.

What you'll do:

• 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
• Invent workflows the industry does not yet have

What they're looking for:

• You are a superstar technical thinker who uses ML as one of many tools
• You have very high agency. You do not wait for a clean dataset, a polished problem statement, or a perfect roadmap. You form hypotheses, build instruments, test ideas, and keep moving
• You are AI-first but not AI-reliant. You use agents, LLMs, automation, and modern tools to move faster, but your own judgment stays in charge
• You are drawn to the grid because it is physical, messy, high-stakes, and full of hidden leverage
• Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Math, Statistics, Electrical Engineering, Energy Systems, Operations Research, Power Systems, Physics, or another rigorous quantitative field
• Evidence of exceptional ability: original research, serious side projects, open-source work, startup building, competitions, technical writing, or shipped systems
• Experience with energy storage, utility data, tariffs, load analysis, peak shaving, grid infrastructure, electricity markets, forecasting, optimization, anomaly detection, agentic workflows, or AI-assisted research systems
• Exceptional ability exemplified through personal projects