AI-Driven Grid ML Engineer | Build Agentic Systems

Powertown

Boston

On-site

PHP 5,643,000 - 10,031,000

Full time

14 days+
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Job summary

Powertown is seeking a superstar technical thinker to join our energy-grid research initiative. You will build intelligent agents to research, analyze, and propose next steps for peak shaving, storage opportunities, and grid optimization.

You will work with ML, LLMs, and automation, turning grid data into decision systems while maintaining rigorous auditing and practical judgment. You will help explore high-stakes, real-world energy systems with fast iteration and deep curiosity.

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

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

Machine Learning
Agent-based workflows
Automation

Education

Computer Science
Electrical Engineering
Applied Math
Statistics

Job description

Powertown is seeking a superstar technical thinker to join our energy-grid research initiative. You will build intelligent agents to research, analyze, and propose next steps for peak shaving, storage opportunities, and grid optimization.

You will work with ML, LLMs, and automation, turning grid data into decision systems while maintaining rigorous auditing and practical judgment. You will help explore high-stakes, real-world energy systems with fast iteration and deep curiosity.

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