Qualifications
* 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.
Preferred qualifications:
* 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).
About the job
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.
Responsibilities
* 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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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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