Research Scientist, Factuality

Requirements:

• 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.

Nice to haves:

• 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).

What you'll be doing:

• 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.

Perks and benefits:

• Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
• Equal opportunity and affirmative action employer.
• Opportunity for English proficiency.
• Accommodations for Applicants form available.
• Global collaboration and communication.
• Google does not accept agency resumes.