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Machine Learning Engineer

BostonOnsite · United States
FullTime · Technical
POSTED 5 SEPTVERIFIED 11H AGO
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Role
65 days opentrue age
Posted 5 Sept
Pay
$168k–$226kno pay posted
Market p25–p75
$168k–$226k
Boston · n=28 · 365d to 6 Nov
CompanyPowertown →
8open roles
Opened · 30d
+0
Closed · 30d
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2d of snapshots · 30d window
Market
3,256open · ML / AI
Opened · 7d
+2427% of open
All ml / ai
6,613open
All tracked boards · live 10 Nov · n=3,256
LLMs

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

Source · PowertownFirst seen 2 NovOriginal ↗