The ideal candidate uses machine learning as one of several tools and demonstrates strong technical judgment.
The ideal candidate takes initiative, forms hypotheses, builds instruments, tests ideas, and progresses without requiring clean data, polished problem statements, or a complete roadmap.
The ideal candidate uses agents, large language models, automation, and modern tools while retaining independent judgment.
The ideal candidate is interested in the electric grid and its physical, complex, high-stakes challenges.
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 artificial intelligence and rigorously audit its outputs.
Invent workflows for the industry.
Desired Qualifications
Preferred fields of study include Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, Electrical Engineering, Energy Systems, Operations Research, Power Systems, Physics, or another rigorous quantitative field.
Evidence of exceptional ability through original research, substantial 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 demonstrated through personal projects.
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