Machine Learning Engineer Intern

Powertown is hiring Machine Learning Engineers and Interns to build intelligence systems for battery storage and the electric grid. This role is about grid infrastructure, peak shaving, utility data, storage economics, asset behavior, forecasting, optimization, and agentic workflows.

We are not looking for someone who simply trains models. We are looking for people who can invent new ways for AI, data, and software to make Powertown better at finding, evaluating, and operating storage assets.

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 Preferred majors 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.

Ideal candidate • 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.