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Lead Scientist - Artificial Intelligence

Job in Schenectady, Schenectady County, New York, 12309, USA
Listing for: GE Vernova
Full Time position
Listed on 2026-08-24
Job specializations:
  • Research/Development
    Data Scientist, AI Business & Operations
Job Description & How to Apply Below

Lead Scientist

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.

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, Tensor Flow, 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 Git Hub).

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.

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