Research Scientist, Factuality
Google
On-site
London, United Kingdom
Scientist
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.