Research Scientist - Artificial Intelligence

GE Vernova•Elgin Township, IL
•$89,300 - $148,700•Onsite

About The Position

GE Vernova Advanced Research leads research and development efforts that support the company’s mission to help power the energy transition. Its researchers collaborate with GE Vernova businesses, the U.S. government, and external technology partners on energy-focused projects addressing near-term technical challenges, next-generation products, and long-term innovation. The Research Scientist will design, develop, and apply AI technologies—including machine learning, deep learning, generative AI, and foundation models—to complex energy-sector challenges. The work ranges from theoretical and empirical research to prototyping and solution development, across areas such as power generation, renewable energy, electric grids, robotics, and manufacturing. The role collaborates with GE Vernova business units, researchers across disciplines, and external partners in academia and government. The position is based in an office in Niskayuna, New York. The scientist will contribute to research programs and may create intellectual property, publish research, and support grant proposals. GE Vernova offers professional development, competitive compensation, relocation assistance, discretionary annual bonus eligibility, and the benefits described in the posting.

Requirements

  • PhD in Computer Science, Electrical or Computer Engineering, Mathematics, Physics, or a related field, with a focus on Artificial Intelligence; alternatively, an MS in one of these fields or a related field plus at least 2 years of work experience focused on Artificial Intelligence.
  • Demonstrated ability to write Python code.
  • Familiarity with AI, machine learning, and generative AI packages and frameworks such as PyTorch, TensorFlow, and HuggingFace.
  • Deep expertise in one or more of the following: Large Language Models (LLMs), time-series or multimodal foundation models, scientific machine learning with physics, or graph neural networks.
  • Legal authorization to work in the United States.
  • Willingness to work out of an office located in Niskayuna, New York.

Nice To Haves

  • PhD focused on new advancements in Artificial Intelligence.
  • Experience with one or more of the following: multimodal foundation models using image, tabular data, and text; integrating physics in machine learning; graph neural networks for energy systems; or integrating LLMs with knowledge graphs.
  • Experience writing grant proposals and participating in grant-supported research, including demonstrated successful communication with government agencies such as DoE, ARPA-E, DoD, and DARPA.
  • Contributions to public-domain codebases and/or a significant GitHub portfolio demonstrating mastery and impact.

Responsibilities

  • Research, conceptualize, and develop AI solutions for complex industrial problems.
  • Collaborate with peer researchers on new and ongoing projects.
  • Demonstrate the value of AI through early prototypes and solutions for real-world problems.
  • Use software libraries, tools, and practices to implement efficient, scalable, and reusable solutions.
  • Create intellectual property by writing invention disclosures and filing patents.
  • Publish research in scientific journals and conferences.
  • Write and/or support grant proposals.

Benefits

  • Medical, dental, vision, and prescription drug coverage.
  • Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
  • Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services.
  • GE Vernova Retirement Savings Plan, including a tax-advantaged 401(k) savings opportunity with company matching and company retirement contributions.
  • Access to Fidelity resources and financial planning consultants.
  • Tuition assistance.
  • Adoption assistance.
  • Paid parental leave.
  • Disability benefits.
  • Life insurance.
  • 12 paid holidays.
  • Permissive time off.
  • Relocation assistance.
  • Discretionary annual bonus eligibility.
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