Grid AI Intern: Post-Training & Alignment Research

PS0178 GE Energy Management Services, LLC; Bellevue (WA); On-site; USD 30,000 - 39,000; Full time

Benefits offered by this job

Relocation

Housing allowance

EAP

Retirement plan

Job summary

GE Vernova's Applied Grid Innovation team is seeking a Power System Intern focused on foundational models in Bellevue, WA. You will contribute to research and prototyping that blends power systems expertise with advanced AI to create intelligent, grid-ready operational solutions for the energy future.

You will research post-training techniques, explore fine-tuning and alignment, develop experiments, evaluate model behavior, and collaborate with AI researchers and software engineers.

Qualifications

• Currently pursuing or completed degree in CS/AI/ML.
• Experience with Python and ML frameworks.
• Solid understanding of supervised learning and deep learning basics.
• Experience conducting research or model development.
• Strong analytical and problem-solving skills.

Responsibilities

• Research post-training techniques for foundation models.
• Explore fine-tuning, alignment, reinforcement learning, and feedback-driven learning approaches.
• Develop experiments to improve model performance on utility-specific tasks.
• Evaluate model behavior, accuracy, and domain adaptation.
• Support creation of datasets and training pipelines.
• Analyze tradeoffs between performance, cost, and operational value.
• Collaborate with AI researchers and software engineers.
• Present experimental findings and recommendations.

Skills

Python

ML frameworks

Supervised learning fundamentals

Research experience

Analytical skills

Education

Bachelor's/Master's/PhD in CS/Data Science/AI/ML

Tools

PyTorch

Hugging Face

Job description

GE Vernova's Applied Grid Innovation team is seeking a Power System Intern focused on foundational models in Bellevue, WA. You will contribute to research and prototyping that blends power systems expertise with advanced AI to create intelligent, grid-ready operational solutions for the energy future.

You will research post-training techniques, explore fine-tuning and alignment, develop experiments, evaluate model behavior, and collaborate with AI researchers and software engineers.