GE Vernova AI Research Intern for Energy-Aware Machine Learning - Summer 2026
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About this role
Join our AI research team to help create the intelligent electric grid of the future. As an AI Research Intern, you will focus on one of the most critical challenges in the energy transition: ensuring a stable, efficient, and resilient power grid. Your primary objective will be to develop and demonstrate advanced machine learning models for large-scale grid optimization and forecasting.
This project goes beyond traditional data-driven approaches. A key component of your work will be to integrate fundamental physics and domain knowledge—such as grid topology, power flow equations, and operational constraints—into your machine learning models. You will explore hybrid AI techniques to create practical, accurate, and robust solutions. Your work will have impact in improving grid operations, enabling higher penetration of renewable energy, and enhancing overall system reliability.
Key Deliverables/Outcomes:
- Comprehensive Energy Analysis & Technical Report: A detailed technical report and final presentation analyzing the trade-offs between efficiency and model accuracy and providing recommendations for best practices.
- Validated Codebase: Well-documented, reusable code implementing the energy-efficient techniques (e.g., model compression, efficient training algorithms), contributed to the team’s repository.
- Potential Contribution to the Field: Novel research findings that could form the basis of a patent application or a publication in AI conference/workshop focused on efficient AI.
Experience and Learning Opportunities:
- Applied Research & Development Lifecycle: Practical experience of the end-to-end research process in an industrial setting—from problem formulation and experimental design to prototyping, rigorous validation, and results analysis.
- Technical Communication & Documentation: Advanced skills in documenting code, articulating complex technical trade-offs in reports, and presenting research findings to a team of experts and business stakeholders.