Research Scientist

Research Scientist - Artificial IntelligenceOverviewAs 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. Our AI team develops and demonstrates innovative AI technologies to transform the future of energy.You will be part of a highly skilled team of AI Researchers tackling challenging problems across power generation, renewable energy, electric grids, robotics, and manufacturing, in collaboration with GE Vernova's business units and external partners in academia and government.ResponsibilitiesResearch, conceptualize, and develop AI solutions for hard industrial problemsCollaborate with teams of peer Researchers on new and continuing projectsDemonstrate value of AI through early prototypes and solutions for real-world problemsEmploy software libraries, tools, and practices to implement efficient, scalable, and reusable solutionsCreate intellectual property by writing invention disclosures and filing patentsPublish research work to scientific journals and conferencesWrite and/or support grant proposalsRequired QualificationsPhD 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 in Artificial IntelligenceDemonstrated ability to write Python codeFamiliarity with AI, ML, and GenAI packages and frameworks like PyTorch, TensorFlow, HuggingFace, and moreDeep expertise in one or more of: Large Language Models (LLM), Time-series or Multi-Modal Foundation Models, Scientific Machine Learning with Physics, Graph Neural NetworksLegal authorization to work in the U.S. is requiredMust be willing to work out of an office located in Niskayuna, NYDesired CharacteristicsPhD focused on new advancements in Artificial IntelligenceExperience in one or more: Multi-Modal Foundation Models with image, tabular data, and text; Integrating Physics in Machine Learning; Graph Neural Networks for Energy Systems; Integrating LLM with knowledge graphsExperience in writing grant proposals and participating in grant-supported research with government agencies (e.g., DoE, ARPA-E, DoD, DARPA)Contribution to public domain codebases or a significant GitHub portfolioCompensation and BenefitsThe base pay range for this position is $88,600-$147,600. This position is eligible for a performance bonus. GE Vernova offers healthcare (medical, dental, vision, prescription), health coaching resources, and 24/7 nurse-based support, as well as Employee Assistance Program services. Retirement benefits include a 401(k) plan with company matching and contributions. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability and life insurance, and paid time off for vacation or illness.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. Relocation assistance provided: Yes. GE Vernova will only employ individuals legally authorized to work in the United States; offers are conditioned upon successful completion of a drug screen where applicable.LocationSchenectady, NY #J-18808-Ljbffr