> Markdown version of [/jobs/ext/3456224-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3456224-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** POWERTOWN LLC - **Location:** Boston, MA, United States - **Salary:** $190,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Theories, Machine Learning, Open Source Technology, Large Language Models, Information Technology - **Published:** September 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ed55851056a5e9d1 ## About the Role 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., * 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, * 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 ## Description * 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