Lead Scientist - Artificial Intelligence

Job Description Summary

Tätigkeiten, die darauf abzielen, durch Anwendung wissenschaftlicher und technischer Methoden zu beweisen, dass ein Konzept gültig oder technisch machbar ist. Die Arbeit in dieser Familie hat in der Regel das Ziel, die Leistung und das Umsetzungspotenzial eines Konzepts durch Tests zu belegen oder zu analysieren.

Verantwortlich für die Planung/Ausführung des Abteilungsbetriebs oder konzentriert sich auf die Ausführung von beruflichen Tätigkeiten innerhalb einer technischen Disziplin. Hat eine gewisse Autonomie, wird jedoch von festgelegten Richtlinien oder der Überprüfung der Endergebnisse geleitet.

Die Stelle ermöglicht die Änderung von Arbeitsabläufen und Praktiken, sofern die Endergebnisse den Standards der Akzeptanz (Qualität, Umfang, Aktualität usw.) entsprechen.

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

• Demonstrate value of AI through early prototypes and solutions for real‑world problems

• 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 to scientific journals and conferences

• Write and/or support grant proposals

Required Qualifications

• PhD in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields and a minimum of 2 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 5 years of work experience with a focus on Artificial Intelligence

• Demonstratedabilityto write Python code

• Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like PyTorch, Tensor Flow, etc.

• Experience in one or more of the following areas: (a) Training domain‑specific large language models (LLM), (b) Development of time‑series or multi‑modal foundation models, (c) Building and leveraging knowledge graphs with LLMs for reasoning and memory, (d) Integrating physics in scientific machine‑learning models

Eligibility:

• Must have work authorization for the US.

• Must be willing to work out of an office located in Niskayuna, NY

Desired Characteristics

• Completed PhD focused on new advancements in Artificial Intelligence

• Demonstratedabilityto lead AI projects

• Strong communication skills for engaging stakeholders, defining key problems, and sharing progress and outcomes.

• Experience writing and executing grant‑supported research, including successful proposal development and communication with government agencies (e.g., DoE, ARPA‑E, DoD, DARPA).

• Experience contributing to open‑source codebases and/or a significant portfolio of public work (e.g., on Git Hub).

This role requires access to U.S. export‑controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export‑controlled information from the U.S. Government.

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

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).

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