Minimum qualifications:
* PhD degree in Computer Science, a related field, or equivalent practical experience.
* 2 years of experience leading a research agenda.
* Experience in Python, JavaScript, R, Java, or C++.
* 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.