Research Scientist, Factuality

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience leading a research agenda.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

• Experience with Large Language Models (LLM) training and generative models.
• Experience in software engineering for machine learning.
• Publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM).

As a Research Scientist on this team, you will play a critical role in measuring and enhancing the factuality of Gemini. You will collaborate extensively with numerous research and engineering teams to drive foundational improvements. You will also require a unique blend of theoretical research and applied science to solve one of the most critical issues in Artificial Intelligence (AI) today.

• Drive research efforts to improve frontier Gemini capabilities, such as factuality.
• Review the latest literature to guide research and experimental directions.
• Curate and generate data to evaluate and improve Gemini capabilities.
• Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as factuality.
• Collaborate with partners and product functions to deliver new model capabilities to production.

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