waypointjobs

Powertown

Machine Learning Engineer, Intern

boston, MA

Check who can apply and the requirements below before continuing.

About this opportunity

Powertown lists this Machine Learning Engineer, Intern opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.

Job description

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

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Worksite address

boston, MA, 02298, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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