GE Vernova Inc
Research Scientist - AI for Knowledge Graph and Reasoning
GE Vernova Inc, Niskayuna, New York, United States
Job Description Summary
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 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. These programs 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. 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.
Job Description Roles and Responsibilities
Research, conceptualize, and develop AI solutions for hard industrial problems by developing and leveraging state‑of‑the‑art capabilities in knowledge representation, graph neural networks (GNNs), generative AI, knowledge graphs (KGs), and advanced reasoning algorithms.
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 (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 MS degree in the same fields with a minimum of 2 years of work experience in AI.
Demonstrated proficiency in programming with Python.
Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like PyTorch, TensorFlow, etc.
Expertise in one or more of: (a) integrating LLMs in KG construction from structured and unstructured data, (b) using KG for automated reasoning with generative AI, and (c) creating knowledge graphs that federate and harmonize data from disparate sources.
Legal authorization to work in the U.S. is required. This position does not sponsor employment visas for individuals 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 the context of industrial systems.
Experience in writing grant proposals and participating in the execution of grant‑supported research; includes demonstrated successful communication with government agencies such as DoE, ARPA‑E, DoD, and DARPA.
Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact.
Compensation and Benefits The base pay range for this position is $88,600.00 – $147,600.00 USD annually. This position may also be eligible for a sign‑on incentive and new‑hire equity grant based on meeting certain eligibility criteria.
GE Vernova provides a comprehensive benefits package that includes health care coverage, a retirement plan with company matching, life insurance options, disability coverage, paid time‑off, employee assistance programs, and more.
Equal Opportunity Employer 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, or protected veteran status.
Relocation Assistance Relocation Assistance: Yes
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Job Description Roles and Responsibilities
Research, conceptualize, and develop AI solutions for hard industrial problems by developing and leveraging state‑of‑the‑art capabilities in knowledge representation, graph neural networks (GNNs), generative AI, knowledge graphs (KGs), and advanced reasoning algorithms.
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 (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 MS degree in the same fields with a minimum of 2 years of work experience in AI.
Demonstrated proficiency in programming with Python.
Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like PyTorch, TensorFlow, etc.
Expertise in one or more of: (a) integrating LLMs in KG construction from structured and unstructured data, (b) using KG for automated reasoning with generative AI, and (c) creating knowledge graphs that federate and harmonize data from disparate sources.
Legal authorization to work in the U.S. is required. This position does not sponsor employment visas for individuals 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 the context of industrial systems.
Experience in writing grant proposals and participating in the execution of grant‑supported research; includes demonstrated successful communication with government agencies such as DoE, ARPA‑E, DoD, and DARPA.
Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact.
Compensation and Benefits The base pay range for this position is $88,600.00 – $147,600.00 USD annually. This position may also be eligible for a sign‑on incentive and new‑hire equity grant based on meeting certain eligibility criteria.
GE Vernova provides a comprehensive benefits package that includes health care coverage, a retirement plan with company matching, life insurance options, disability coverage, paid time‑off, employee assistance programs, and more.
Equal Opportunity Employer 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, or protected veteran status.
Relocation Assistance Relocation Assistance: Yes
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