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Research Scientist, Cloud AI Research

Job in Sunnyvale, Santa Clara County, California, 94086, USA
Listing for: Google
Full Time position
Listed on 2026-06-27
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Research Analyst
Salary/Wage Range or Industry Benchmark: 207000 - 301000 USD Yearly USD 207000.00 301000.00 YEAR
Job Description & How to Apply Below
Position: Staff Research Scientist, Google Cloud AI Research

Staff Research Scientist, Google Cloud AI Research

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits.

Responsibilities:

  • Author research papers to share and generate impact of research results across organization and in the research community.
  • Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
  • Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation.
  • Identify timelines and obtain resources needed.
  • Identify new and upcoming research areas by interacting with potential external and internal collaborators.
  • Develop long-term research strategy and plans to expand the impact of Google research.
  • Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

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.

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