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Google Researcher Jobs in California (NOW HIRING)

About the job At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating ...

About the job At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating ...

Senior Research Scientist, Beam

Mountain View, CA · On-site

$116K - $148K/yr

About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while ...

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Google Researcher information

See California salary details

$29.6K

$111.6K

$162.3K

How much do google researcher jobs pay per year?

As of Aug 24, 2026, the average yearly pay for google researcher in California is $111,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a Google researcher?

A Google Researcher is responsible for conducting cutting-edge research in areas like artificial intelligence, machine learning, natural language processing, and other advanced technologies. They work on developing innovative solutions, publishing papers, collaborating with academic institutions, and applying research breakthroughs to real-world Google products. Researchers often have strong backgrounds in computer science, mathematics, or related fields, and they contribute to both theoretical advancements and practical applications within Google's ecosystem.

What are the typical research projects and collaboration opportunities for Google researchers?

Google Researchers work on a wide range of projects, including artificial intelligence, machine learning, natural language processing, data privacy, and novel algorithms. Collaboration is a core part of the job—researchers often partner closely with software engineers, product teams, and fellow scientists both within Google and in academia. This team-based environment fosters interdisciplinary innovation and allows researchers to see their work translated into real-world applications. As a Google Researcher, you’ll also have the opportunity to publish your findings, present at conferences, and contribute to open-source initiatives, all while advancing your career in a dynamic, supportive setting.

What are the key skills and qualifications needed to thrive in the Google researcher position, and why are they important?

To thrive as a Google Researcher, you need advanced analytical expertise, a strong background in computer science or a related field, and a proven research track record, often supported by a PhD or equivalent experience. Familiarity with tools like Python, TensorFlow, large-scale data processing systems, and publication in top-tier conferences or journals is highly valued. Exceptional problem-solving, collaboration, and communication skills help you work effectively in cross-functional, innovative teams. These abilities are critical for developing groundbreaking technologies and contributing to impactful research projects at Google.

Does Google hire researchers?

Yes, Google hires researchers for roles in areas such as artificial intelligence, machine learning, and data science. These positions typically require strong technical skills, advanced degrees, and experience with research methodologies and tools like TensorFlow or Python.

How to become a Google researcher?

To become a Google researcher, candidates typically need a strong background in computer science, data analysis, or related fields, often holding a master's or Ph.D. degree. Relevant skills include programming, machine learning, and data modeling, along with experience in research environments and familiarity with tools like TensorFlow or Google Cloud. Applying through Google's careers portal and demonstrating research experience are key steps.

What cities in California are hiring for Google Researcher jobs?

Cities in California with the most Google Researcher job openings:

Infographic showing various Google Researcher job openings in California as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $111,621 per year, or $53.7 per hour.

Research Scientist, Google Research

Google Inc.

Mountain View, CA • On-site

$174 - $252/hr

Other

Re-posted 14 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

Share Research Scientist, Google Research

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corporate_fare Google Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Research Scientist, Google Research

  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience leading a research agenda.
  • Experience with LLM training and generative models.
  • One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
  • 2 years of coding experience.
  • 1 year of experience leading research efforts and influencing other researchers.
About the job

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. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

This team measures and improves key capabilities like multi-turn, factuality, and search for Gemini, working at the frontier of post-training for large foundational models. Modern LLMs are required to support long interactions with users, such as chat and informational dialogs, code development, image editing and video sessions. In this role, you will research new approaches for analyzing, evaluating and training LLMs to enhance their multi-turn capabilities.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Scope and drive research efforts to improve complex frontier Gemini capabilities, such as multi-turn, factuality and tool-use.
  • Review the latest literature to guide research and experimental directions.
  • Curate and generate data to evaluate and improve Gemini capabilities.
  • Design and implement both human and automated evaluation strategies.
  • Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as multi-turn and factuality.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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