Powertown logo
Powertown Verified
Electrical Services

Machine Learning Engineer, Intern (Term-Time)

Boston, MAOnsiteFull TimeJunior / Entry-levelPosted 2 months ago

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Required skills

  • intelligence systems
  • battery storage
  • electric grid
  • peak shaving
  • load behavior
  • utility signals
  • storage opportunities
  • agents
  • extract
  • compare

Nice to have

  • exceptional ability
  • original research
  • side projects
  • open-source work
  • startup building
  • competitions

Role summary

Powertown is seeking Machine Learning Engineers and Interns to develop intelligence systems for battery storage and the electric grid. This role focuses on grid infrastructure, peak shaving, utility data, storage economics, asset behavior, forecasting, optimization, and agentic workflows. The ideal candidate will invent new ways for AI, data, and software to improve the company's ability to find, evaluate, and operate storage assets, going beyond simple model training. Responsibilities include building intelligence around grid operations, creating research agents, and transforming grid data into decision systems.

Overview

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. 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

Preferred qualifications

  • 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

Ready to apply?
You'll be redirected to Powertown's application page.

Similar roles

See how RiseMe works

Match, tailor, and prep so you send fewer applications and land more interviews.