Lead Scientist - Artificial Intelligence

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero‑carbon future.

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 entities at the forefront of technology 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 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.

• 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

• 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 an 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, Tensor Flow, etc.
• Experience in one or more of the following areas:
  Multi‑Modal Foundation Models (image, text, tabular data), LLM Integration with Knowledge Graphs, Physics‑Informed Machine Learning, Graph Neural Networks for Energy Systems, Time‑series Foundation Models, or Energy‑aware ML.
• Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening.
• 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 U.S. Export Administration Regulations (EAR), 15 CFR § 746 et seq.…