ML Engineer Intern: AI-Driven Grid Intelligence

PowerTown; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

PowerTown is seeking a highly capable AI/ML researcher to develop intelligent decision systems for grid optimization in Boston. You will build models, craft agent-based workflows, and transform grid data into actionable insights using cutting-edge AI and traditional methods.

You will work independently to form hypotheses, instrument experiments, and iterate quickly on real-world energy challenges such as peak shaving and storage opportunities.

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
• Advanced coursework or demonstrated capability in machine learning, optimization, and data analysis

Responsibilities

• 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

Skills

ML

LLMs

Python

Optimization

Data analysis

Education

Bachelor's degree in a quantitative field

Tools

TensorFlow

PyTorch

SciPy

Jupyter

Job description

PowerTown is seeking a highly capable AI/ML researcher to develop intelligent decision systems for grid optimization in Boston. You will build models, craft agent-based workflows, and transform grid data into actionable insights using cutting-edge AI and traditional methods.

You will work independently to form hypotheses, instrument experiments, and iterate quickly on real-world energy challenges such as peak shaving and storage opportunities.