Research Scientist, Factuality

Google Inc.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in Greater London seeks an experienced Research Scientist to enhance capabilities of Gemini, focusing on factuality. The ideal candidate will collaborate with varied teams and lead research initiatives, requiring a PhD in Computer Science, experience in AI, and a strong track record of publications. This position emphasizes collaboration and innovative experimentation, with a commitment to fostering an inclusive workforce.

Qualifications

• Proven experience leading research projects for at least 2 years.
• Strong theoretical knowledge in AI and machine learning.
• Ability to conduct supervised fine-tuning and reinforcement learning experiments.

Responsibilities

• Drive research to enhance Gemini capabilities.
• Review literature to influence research direction.
• Curate data to evaluate Gemini performance.
• Design and conduct various AI experiments.
• Collaborate with teams for production delivery.

Skills

Research leadership

Collaborative skills

Computer Science knowledge

Publication experience

Experience with LLMs

Education

PhD 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.

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