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Google Researcher Jobs (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 ...

$200 - $250/hr

About the job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may ...

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

New

$150 - $200/hr

corporate_fare Google place New York, NY, USA ; Irvine, CA, USA ; +2 more ; +1 more Mid Experience ... Track record in demonstrating command of research questions within a given domain, and of technical ...

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Google Researcher information

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$30K

$113.1K

$164.5K

How much do google researcher jobs pay per year?

As of Sep 7, 2026, the average yearly pay for google researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 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.
More about Google Researcher jobs

What cities are hiring for Google Researcher jobs?

Cities with the most Google Researcher job openings:

What states have the most Google Researcher jobs?

States with the most job openings for Google Researcher jobs include:

Infographic showing various Google Researcher job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Senior Research Scientist, Google Cloud AI Research

Google Inc.

Sunnyvale, CA • On-site

$200 - $250/hr

Other

Re-posted 15 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Senior Research Scientist, Google Cloud AI Research Mid

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

  • PhD 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:
  • 1 year of experience leading research efforts and influencing other researchers.

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Mountain View, CA, USA.

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. 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.

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. 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.

  • Author research papers to share and generate impact of research results across function and in the research community.
  • Help in growing research business by sharing research trends and best practices within the community.
  • Drive
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