Research Scientist AI for Knowledge Graph and Reasoning

Job description

**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 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 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.

You will combine techniques in knowledge representation, graph-based machine learning, logical reasoning, generative AI, and foundation models to create explainable and trustworthy AI solutions.

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 to simplify construction and refinement of knowledge graphs to model complex industrial systems, assets, and processes.

You will have the opportunity to work on diverse projects with applications in power generation, renewable energy, electric grids, robotics, manufacturing, and internal business processes by collaborating with 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.

**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 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 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.

We will not sponsor individuals at the Master's level for employment visas, now or in the future, for this job opening.
+ Because of the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq.

(currently North Korea, Syria, Iran and Cuba).

Please note that citizens of these countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship or permanent residency from a non-restricted country can be considered.
+ 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 context of industrial systems.
+ Familiarity with Model Context Protocol (MCP) to establish connection and retrieve knowledge or data.
+ 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.

The base pay range for this position is 88,600.00 - 147,600.00 USD, Annually.

The specific pay offered may be influenced by a variety of factors, including the candidate’s education and skill set.

This position may also be eligible for a sign on incentive and new hire equity grant based on meeting certain eligibility criteria.

GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents.

These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.

GE Vernova is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) .

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.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.

GE Vernova is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) .

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.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

**Relocation Assistance Provided:** Yes
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.

Required Skill Profession

Other General