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Research Scientist, Factuality

Google Inc.

Greater London

On-site

GBP 70,000 - 90,000

Full time

7 days ago
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Job summary

A leading multinational technology company is seeking a Research Scientist to enhance AI capabilities in factuality for Gemini. You will collaborate with diverse teams, conduct experimental research, and evaluate AI performance. The ideal candidate holds a PhD in Computer Science or a related field, with at least 2 years of experience leading research and having published scientific work. Your role entails driving forward research initiatives and extensive collaboration, requiring both theoretical knowledge and practical expertise.

Qualifications

  • 2 years of experience leading a research agenda.
  • One or more scientific publication submissions.

Responsibilities

  • Drive research to improve Gemini capabilities.
  • Review literature to guide research directions.
  • Curate data to evaluate Gemini.
  • Conduct fine-tuning and reinforcement learning experiments.
  • Collaborate with partners to deliver new capabilities.

Skills

Experience with Large Language Models (LLM) training
Experience in software engineering for machine learning
Publications in top machine learning conferences

Education

PhD degree in Computer Science or related field
Job description
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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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