Senior Scientist - Artificial Intelligence

Job Description Summary

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 Senior Scientist, you will lead and execute on projects to design, develop, and apply innovative AI technologies, including machine learning, deep learning, generative AI, and foundation models, 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 shape priorities, define problem worth solving, and work on diverse projects with applications in power generation, renewable energy, electric grids, robotics, manufacturing, and internal business processes. You will collaborate with multiple stakeholders from GE Vernova's business units and 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
• Lead projects and collaborate with teams of peer researchers on new and continuing projects ensuring alignment with strategic objectives
• Work independently as well as guide development of new technologies to demonstrate and realize value of AI through early prototypes and solutions for real-world problems
• Mentor early-career researchers to be effective in project execution and supp-ort their technical growth
• Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions
• Create intellectual property by writing invention disclosures and filing patents
• Publish research work in peer-reviewed conferences and journals
• Write grant proposals and support execution of R&D programs

• PhD in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields and a minimum of 5 years of work experience with a focus on Artificial Intelligence
  OR
  MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields with a minimum of 8 years of work experience with a focus on Artificial Intelligence
• Demonstrated ability to write Python code and hands-on development of AI solutions
• Demonstrated ability to lead AI projects
• Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like PyTorch, TensorFlow, etc.
• Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters' 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

• Completed PhD focused on new advancements in Artificial Intelligence
• Experience in one or more of: (a) Multi-Modal Foundation Models with image, text, tabular data, and/or time-series data, (b) Integrating generative AI with knowledge graphs and graph-based reasoning, and (c) Integrating physics and domain knowledge in scalable machine learning solutions.
• Strong communication skills to engage with stakeholders to define problems worth solving and to share progress and outcomes
• Experience in leading research efforts and collaborating with researchers.
• 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