Job Description Summary

Job Description

Join the AI research team dedicated to shaping the future of energy. As a Multi-modal Generative AI Research Intern, you will be at the forefront of applying cutting-edge artificial intelligence to solve some of the world's most critical energy challenges. Your primary role will be to design, develop, and implement innovative generative AI models to drive breakthroughs across the energy sector by leveraging image, text, time-series, tabular, and/or video data.

You will engage in various stages from fundamental investigation to building functional prototypes. Your project will have potential applications in power generation, renewable energy, or grid for improving efficiency and product differentiation. This is a unique opportunity to collaborate with world-class researchers and engineers across GE Vernova, ensuring your work has a direct line of sight to real-world impact.

• A Functional Multi-modal AI Prototype or Tool: A demonstrated proof-of-concept generative AI workflow or tool that leverages diverse data types (e.g., time-series, images, text) to address a specific challenge in the business processes or products.
• Comprehensive Model Evaluation & Report: A detailed technical report and final presentation summarizing the project's methodology, model architecture, experiments, and a rigorous evaluation of the results.
• Validated Code and Workflows: Well-documented, reusable code and implemented models contributed to the team’s repository, enabling future research and development.
Potential Contribution to Intellectual Property: Novel research findings that could form the basis of a patent application or a publication.

• 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.
• Domain-Specific AI Application: Proven ability to translate complex challenges from business processes or products into well-defined AI problems and deliver effective, data-driven solutions.
• Technical Communication & Documentation: Advanced skills in documenting code, articulating complex technical concepts in reports, and presenting research findings and their implications to a team of experts and business stakeholders.

Basic Qualifications:

• Currently pursuing a M.S./Ph.D. in Computer Science or related fields in MIT Schwarzman College of Computing, School of Engineering (EECS, MechE, etc.), or School of Science (Brain and Cognitive Sciences, Mathematics)
• Legal authorization to work in the U.S. is required.
• Must be willing to work out of an office located in Niskayuna, NY. 
• Minimum GPA 4.0 / 5.0 scale.
• Because of the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran and Cuba). Please note that citizens of these countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship or permanent residency from a non-restricted country can be considered.

Desired Qualifications:

• Demonstrated proficiency in programming languages, such as Python
• Solid understanding of AI and machine learning principles
• Hands-on experience with machine learning and generative AI
• Ability to work collaboratively within cross-functional teams

Benefits Available to you:

Addressing the climate crisis is an urgent global priority, and at GE Vernova, we take our responsibility seriously. That is the singular mission of GE Vernova: to continue electrifying the world while simultaneously working to help decarbonize it. In order to meet this mission, we provide varied, competitive benefits to help support our workforce: Our Culture | GE Vernova (gecareers.com)

The pay for this position ranges from $1,000-2,000/weekly based on years of graduate field of study completed

This position is also eligible for:

• 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 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.)

General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

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.  Click here to learn more: https://jobs.gecareers.com/vernova/global/en/i-d-e

This posting will remain open until at least November 1 2025.

Additional Information