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 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 The Gemini Factuality team is dedicated to ensuring the factual accuracy and reliability of our next-generation AI models. 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 complex 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.