Lead Research Scientist – Artificial Intelligence Full-time

Job Description Summary
Job Description Summary
GE Vernova’s researchers work on the advancement of Artificial Intelligence and Machine Learning technology for industrial domain, ultimately contributing to the Energy Transition by electrifying the world and decarbonizing the energy sector.

As a Research Scientist, you will design, experiment, analyze, advance, and apply new Artificial Intelligence technology to a broad range of use cases with machine learning, deep learning, and generative AI. Along the way, you will investigate concepts from their fundamentals (theoretical and empirical) to their prototype and creation as new solutions that change the world. You will develop algorithms and systems for various industrial domains including renewable energy, power generation, electric grids, robotics, and manufacturing. This will involve working on projects with GE Vernova’s business units and a wide array of fellow researchers across disciplines and domains. It will also include the opportunity to work on government-sponsored, cutting-edge research programs with GE Vernova’s external partners in academia and government. You will help drive the future of Artificial Intelligence research at GE Vernova and advance human scientific understanding among the broader global community.

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 power the energy transition. We forge the partnerships and 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 technology partners 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.

Job Description

Essential Responsibilities:

• Work with teams of researchers on new and continuing projects
• Develop software solutions for the application of Artificial Intelligence to industrial data
• Implement and analyze prototypes and solutions for real-world problems
• Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions
• Collaborate with GE’s other experts to define and pursue strategic advancement of new Artificial Intelligence technologies
• Create intellectual property by writing invention disclosures and filing patents
• Publish research work to scientific journals and conferences
• Writing grant proposals

Qualifications/Requirements:

• MS + 5 years’ experience or PhD + 2years’ experience in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence
• Minimum of 1 years of research/development within an industrial setting
• Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems
• Deep expertise in one or more of: Scientific Machine Learning with Physics, Graph Neural Networks, and Large Language Models (LLM)
• Candidate must be willing to travel a minimum of 2 weeks per year
• Legal authorization to work in the US is required. We will not sponsor individuals at the Master’s level for employment visas, now or in the future, for this job opening.
• Must be willing to work out of an office located in Niskayuna, NY
• Must be 18 years or older
• You must submit your application for employment on the careers page www.jobs.gecareers.com/vernova/global/en to be considered

Desired Characteristics:

• Ph.D. focusing on new advancements in Artificial Intelligence
• Experience in one or more of: Integrating Physics in Machine Learning, Graph Neural Networks applications in power systems, Multi-Modal Foundation Models with image and text, and integrating LLM with knowledge graphs.
• 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, DARPA
• Ability to obtain Secret (or higher) US Government clearance
• Post-doctoral or industrial experience inventing and developing new Artificial Intelligence technologies
• Extensive publications in peer-reviewed journals and conferences in Artificial Intelligence, and relevant application fields
• Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact

The salary range for this position is $85,600 – $130,000 USD, annually. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. This position is also eligible for a performance bonus. This position will remain posted until at least September 20th, 2024.

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

GE 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