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Google
AI

Research Scientist, Factuality

Google · London, ENG, GB

Actively hiring Posted 5 months ago

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.

Basic 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 company

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.

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