Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 technology partners to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.
As a Post Doctoral Researcher in AI team, you will work with GE Vernova Advanced Research, GEV Business, and external customers to build and execute strategic research and development programs focused in AI and Machine Learning for energy ecosystem. You will design, develop, and apply innovative AI technologies, including machine learning, deep learning, generative AI, and foundation models, to tackle complex challenges in the energy sector. Your work will span the entire research spectrum, from fundamental theoretical and empirical investigations to prototyping and solution development. You will have the opportunity to define and work on diverse projects, including power generation, renewable energy, electric grids, robotics, and manufacturing, in collaboration with GE Vernova's business units and a broad network of Researchers across disciplines and domains.Job Description
Essential Responsibilities:
- Work with teams of researchers on new and continuing projects
- Develop software solutions for the application of Machine Learning to medical and industrial data
- Implement and analyze prototypes and solutions for real-world problems
- Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions
- Create intellectual property by writing invention disclosures and filing patents
Qualifications/Requirements:
- Master's degree with minimum 2 years' experience or PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Machine Learning and/or Artificial Intelligence
- Experience in one or more of these R&D topics: (a) Training domain-specific large language models (LLM), (b) Development of time-series or multi-modal foundation models, and (c) Building and leveraging knowledge graphs for reasoning and memory.
- Demonstrated ability to write Python code
- Candidate must be willing to travel a minimum of 2 weeks per year
- Must have work authorization for the US. We are unable to sponsor individuals for employment visas, now or in the future, for this position opening.
- Must be willing to work out of an office located in Niskayuna, NY
Desired Characteristics:
- Ph.D. focusing on new advancements in Machine Learning
- Experience in writing grant proposals and participating in the execution of grant-supported research
- Deep expertise in one or more of: LLM or multi-modal model training (text, image, etc.), Knowledge graphs
- Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact
- Clear communication style to convey complex ideas to technical and non-technical audiences.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. 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.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on August 26, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova 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 GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Skills Required
- Master’s degree with at least 2 years of experience, or PhD, in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field focused on Machine Learning or Artificial Intelligence
- Experience training domain-specific large language models, developing time-series or multimodal foundation models, or building and using knowledge graphs
- Demonstrated ability to write Python code
- Willingness to travel a minimum of two weeks per year
- US work authorization without current or future employment visa sponsorship
- Willingness to work from the office in Niskayuna, New York
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
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Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
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Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
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Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
GE Vernova Insights
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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