GE Vernova – AGI – AI Post-Training and Model Alignment Intern - Summer

At GE Vernova's Applied Grid Innovation (AGI) team, we are exploring the next generation of AI technologies that will transform 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 efforts that combine power system expertise with advanced AI capabilities to create intelligent operational solutions for the grid of the future.

Are you passionate about innovation? Are you excited at the opportunity to electrify and decarbonize the world? We operate with a founder’s mindset. We deliver innovation with passion, speed, and courage. We continuously challenge our thinking and are empowered to dream big and take smart risks. What impact you’ll make As a student of the Applied Grid Innovation team you will be an active contributor to the development of next-generation AI systems that help utilities make more informed decisions and accelerate the transition toward an AI-native grid.

• 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.

• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Data Science, AI/ML, or 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.

• 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.

Location:

Bellevue, WA

Employment Dates:
May 2027-August 2027

• Relocation Assistance:
  Co-op/Interns will be reimbursed for reasonable, proper, and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible.
• Housing Allowance:
  Co-op/Interns employees receive a weekly housing allowance to help off-set living expenses when the co-op/Intern’s permanent residence is at least 50 miles away from the work location.
• Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
• GE Vernova Retirement Savings Plan (RSP) after their accumulated service reaches 90 days, and they meet any other eligibility requirements as defined in the plans. (Eligibility occurs on the 1st of the month following the 90th day.)

Relocation Assistance Provided:
Yes For candidates applying to a U.S. based position only:

Inclusion At GE Vernova, we believe in the value of your unique identity, background and experiences. We are committed to fostering an inclusive culture, where everyone feels empowered to do their best work because they feel accepted, respected and that they belong.

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion,…