Machine Learning Engineer, Intern

**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 Compensation Range: $190K - $200K