Research Scientist - Artificial Intelligence

GE Vernova Advanced Research Scientist

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 Research Scientist, 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 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.
• 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
• Writing and/or supporting grant proposals

• PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence
• OR MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a minimum of 2 years of work experience with a focus on Artificial Intelligence
• Demonstrated ability to write Python code
• Familiarity with AI, ML, and GenAI packages and frameworks like PyTorch, Tensor Flow, Hugging Face, and more
• Deep expertise in one or more of: (a) Training domain-specific large language models (LLM), (b) Development of time-series or multi-modal foundation models, (c) Building and leveraging knowledge graphs for reasoning and memory, (d) Integrating physics in scientific machine learning models.

• Must have work authorization for the US.
• Must be willing to work out of an office located in Niskayuna, NY.

• PhD focused on new advancements in Artificial Intelligence
• Experience in one or more of: (a) Training multi-modal foundation models with image, tabular data, and text, (b) Integrating Physics in Machine Learning, and (c) Integrating LLM with knowledge graphs.
• Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government…