Lead Scientist - Artificial Intelligence

Job Description Summary

As a global leader in the energy domain, GE Vernova is a purpose-built energy technology company on a mission to electrify and decarbonize the world. Our Artificial Intelligence (AI) team at GE Vernova’s Advanced Research Center is at the heart of this mission, developing and demonstrating innovative AI technologies to transform the future of energy. You can be a part of a highly skilled, dynamic and motivated team of AI Researchers, who are laying the groundwork for GE Vernova to succeed in its mission.

As a Lead Scientist, you will lead and/or execute on projects to 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. Additionally, you will contribute to cutting-edge research programs with external partners in academia and government, driving the advancement of AI research at GE Vernova and pushing the boundaries of human scientific understanding globally.

Job Description

Roles and Responsibilities

• Research, conceptualize, and develop AI solutions for hard industrial problems

• Lead projects and collaborate with teams of peer researchers on new and continuing projects

• Demonstrate value of AI through early 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

• Publish research work to scientific journals and conferences

• Write and/or support grant proposals

Required Qualifications

• PhD in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields and a minimum of 2 years of work experience with a focus on Artificial Intelligence OR MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields with a minimum of 5 years of work experience with a focus on Artificial Intelligence

• Demonstrated ability to write Python code

• Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like PyTorch, TensorFlow, etc.

• Experience in one or more of the following areas: (a) Training domain-specific large language models (LLM), (b) Development of time-series or multi-modal foundation models, (c) Building and leveraging knowledge graphs with LLMs for reasoning and memory, (d) Integrating physics in scientific machine learning models

Eligibility:

• Must have work authorization for the US.

• Must be willing to work out of an office located in Niskayuna, NY

Desired Characteristics

• Completed PhD focused on new advancements in Artificial Intelligence

• Demonstrated ability to lead AI projects

• Strong communication skills for engaging stakeholders, defining key problems, and sharing progress and outcomes.

• Experience writing and executing grant-supported research, including successful proposal development and communication with government agencies (e.g., DoE, ARPA-E, DoD, DARPA).

• Experience contributing to open-source codebases and/or a significant portfolio of public work (e.g., on GitHub).

This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

Additional Information

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 $98,400.00 and $164,000.00. 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 21, 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.