GE Vernova
Research Scientist - AI for Knowledge Graph and Reasoning
GE Vernova, Niskayuna, New York, United States
Research Scientist - AI for Knowledge Graph and Reasoning
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 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 collaborate 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. These 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.
About the Role As a Research Scientist specializing in AI for Knowledge Graph and Reasoning, you will design, develop, and apply innovative AI technologies 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 investigate and apply techniques to integrate knowledge graphs with Large Language Models (LLMs) to improve explainability, long‑term memory, contextual understanding, and reasoning capability for LLM‑based solutions, as well as simplify the construction and refinement of knowledge graphs to model complex industrial systems, assets, and processes.
Your projects will include applications in power generation, renewable energy, electric grids, robotics, manufacturing, and internal business processes, collaborating with a broad network of researchers across disciplines.
Roles and Responsibilities
Research, conceptualize, and develop AI solutions for hard industrial problems by leveraging state‑of‑the‑art capabilities in knowledge representation, graph neural networks, generative AI, knowledge graphs, and advanced reasoning algorithms.
Collaborate with teams of peer researchers on new and ongoing projects.
Demonstrate the value of AI through early prototypes and solutions for real‑world problems.
Employ software libraries (e.g., NetworkX, PyTorch Geometric), graph databases (e.g., Neo4j), and industry best practices to build scalable and reusable solutions.
Create intellectual property by writing invention disclosures and filing patents.
Publish impactful research in top‑tier scientific journals and at relevant conferences.
Contribute to writing and securing grant proposals for internal and external funding.
Required Qualifications
PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, or an MS degree with a minimum of 2 years of AI‑focused work experience.
Demonstrated proficiency in programming with Python.
Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc., and ML frameworks such as PyTorch, TensorFlow.
Expertise in one or more of: (a) integrating LLMs into KG construction from structured and unstructured data; (b) using KG for automated reasoning with generative AI; (c) creating knowledge graphs that federate and harmonize data from disparate sources.
Legal authorization to work in the U.S. is required. This position is not sponsoring employment visas at the Master’s level.
Must be willing to work out of an office located in Niskayuna, NY.
Desired Characteristics
PhD focused on new advancements in KG and generative AI.
Hands‑on experience with KG technologies and graph databases (e.g., Neo4j).
Familiarity with KG development and its applications in industrial systems.
Familiarity with Model Context Protocol (MCP) to establish connections and retrieve knowledge or data.
Experience writing grant proposals and participating in grant‑supported research with agencies such as DoE, ARPA‑E, DoD, and DARPA.
Contribution to public domain codebases and/or significant GitHub portfolio demonstrating mastery and impact.
Compensation The base pay range for this position is
$88,600.00 – $147,600.00 USD, annually . The position may also be eligible for a sign‑on incentive and new‑hire equity grant based on meeting eligibility criteria.
Benefits GE provides a comprehensive benefits package including health care coverage (medical, dental, vision, pharmacy), a retirement plan with Company matching, life insurance options, disability coverage, paid time‑off, EAP, and more.
Relocation Assistance Relocation Assistance Provided: Yes
Equal Opportunity Statement 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.
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Representing virtually every major scientific and engineering discipline, our researchers collaborate 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. These 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.
About the Role As a Research Scientist specializing in AI for Knowledge Graph and Reasoning, you will design, develop, and apply innovative AI technologies 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 investigate and apply techniques to integrate knowledge graphs with Large Language Models (LLMs) to improve explainability, long‑term memory, contextual understanding, and reasoning capability for LLM‑based solutions, as well as simplify the construction and refinement of knowledge graphs to model complex industrial systems, assets, and processes.
Your projects will include applications in power generation, renewable energy, electric grids, robotics, manufacturing, and internal business processes, collaborating with a broad network of researchers across disciplines.
Roles and Responsibilities
Research, conceptualize, and develop AI solutions for hard industrial problems by leveraging state‑of‑the‑art capabilities in knowledge representation, graph neural networks, generative AI, knowledge graphs, and advanced reasoning algorithms.
Collaborate with teams of peer researchers on new and ongoing projects.
Demonstrate the value of AI through early prototypes and solutions for real‑world problems.
Employ software libraries (e.g., NetworkX, PyTorch Geometric), graph databases (e.g., Neo4j), and industry best practices to build scalable and reusable solutions.
Create intellectual property by writing invention disclosures and filing patents.
Publish impactful research in top‑tier scientific journals and at relevant conferences.
Contribute to writing and securing grant proposals for internal and external funding.
Required Qualifications
PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, or an MS degree with a minimum of 2 years of AI‑focused work experience.
Demonstrated proficiency in programming with Python.
Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc., and ML frameworks such as PyTorch, TensorFlow.
Expertise in one or more of: (a) integrating LLMs into KG construction from structured and unstructured data; (b) using KG for automated reasoning with generative AI; (c) creating knowledge graphs that federate and harmonize data from disparate sources.
Legal authorization to work in the U.S. is required. This position is not sponsoring employment visas at the Master’s level.
Must be willing to work out of an office located in Niskayuna, NY.
Desired Characteristics
PhD focused on new advancements in KG and generative AI.
Hands‑on experience with KG technologies and graph databases (e.g., Neo4j).
Familiarity with KG development and its applications in industrial systems.
Familiarity with Model Context Protocol (MCP) to establish connections and retrieve knowledge or data.
Experience writing grant proposals and participating in grant‑supported research with agencies such as DoE, ARPA‑E, DoD, and DARPA.
Contribution to public domain codebases and/or significant GitHub portfolio demonstrating mastery and impact.
Compensation The base pay range for this position is
$88,600.00 – $147,600.00 USD, annually . The position may also be eligible for a sign‑on incentive and new‑hire equity grant based on meeting eligibility criteria.
Benefits GE provides a comprehensive benefits package including health care coverage (medical, dental, vision, pharmacy), a retirement plan with Company matching, life insurance options, disability coverage, paid time‑off, EAP, and more.
Relocation Assistance Relocation Assistance Provided: Yes
Equal Opportunity Statement 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.
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