AI Post-Training Intern (Bellevue) Summer 2027

Job Description Summary

At GE Vernova's Applied Grid Innovation (AGI) team, we are exploring next-generation AI technologies that will change how electric utilities operate and manage the power grid. As a Power System Intern focused on foundational models, you will contribute to research and prototyping work that combines power system expertise with advanced AI to build intelligent operational solutions for the grid of the future.

Are you passionate about innovation? Are you excited by the chance to electrify and decarbonize the world?

We operate with a founder's mindset. We deliver innovation with passion, speed, and courage. We keep challenging our thinking and are encouraged to dream big and take smart risks.

What impact you'll make

As a student on the Applied Grid Innovation team, you will actively help develop next-generation AI systems that enable utilities to make more informed decisions and speed up the move toward an AI-native grid.

Job Description

What you'll do

• 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 the 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.

What you'll bring

• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Data Science, AI/ML, or a related discipline.
• Experience with Python and machine learning frameworks.
• Understanding of supervised learning and deep learning fundamentals.
• Experience conducting research or model development projects.
• Strong analytical and problem-solving skills.

What will make you stand out

• Experience with LLM fine-tuning and model alignment.
• Knowledge of reinforcement learning and preference optimization techniques.
• Experience with PyTorch, Hugging Face, or similar frameworks.
• Familiarity with generative AI technologies.
• Interest in energy systems and critical infrastructure applications.

Employment Dates: May 2027 to August 2027

Benefits

Addressing the climate crisis is an urgent global priority, and GE Vernova takes that responsibility seriously. Our mission is to keep electrifying the world while helping to decarbonize it, and we offer varied, competitive benefits to support our workforce. This position is also eligible for:

• Relocation Assistance: Co-op/Interns are reimbursed for reasonable, documented expenses incurred when reporting to work and returning to school or home at the end of the assignment. Employees with a permanent address more than 50 miles from the work location are eligible.
• Housing Allowance: Co-op/Interns receive a weekly housing allowance to help offset living expenses when their permanent residence is at least 50 miles from the work location.
• Employee Assistance Program, providing 24/7 confidential assessment, counseling, and referral services.
• GE Vernova Retirement Savings Plan (RSP) after accumulated service reaches 90 days, subject to plan eligibility requirements.

Inclusion

At GE Vernova, we value each person's unique identity, background, and experiences. We are committed to an inclusive culture where everyone feels empowered to do their best work, accepted, respected, and like they belong.

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.