Machine Learning Engineer, Intern at Powertown
About the role
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…
Interview process at Powertown
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Powertown interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.