1

Google Researcher Jobs (NOW HIRING)

Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers who care deeply about the people who use ...

At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product ...

... in a Research Engineer-related occupation * Position requires 2 years of experience in the ... At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on ...

next page

Showing results 1-20

Google Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do google researcher jobs pay per year?

As of Jul 3, 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 job?

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.

How much do Google researchers get paid?

Google researchers typically earn a salary ranging from $120,000 to over $200,000 annually, depending on experience, education, and location. Compensation may also include bonuses, stock options, and benefits, reflecting industry standards for research roles in technology companies.

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 and technical expertise are essential steps.

What does a Google researcher do?

A Google researcher conducts studies and experiments to improve Google's products and technologies, often focusing on areas like artificial intelligence, machine learning, and data analysis. They analyze large datasets, develop algorithms, and publish findings to advance the company's innovation efforts, typically working in collaborative environments with specialized tools and programming languages.

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.

Which 3 jobs will survive AI?

For a Google Researcher, roles that require complex problem-solving, creativity, and human judgment are less likely to be automated, such as research scientist positions, data ethics specialists, and user experience designers. These jobs involve critical thinking, innovation, and understanding nuanced human needs, which AI currently cannot fully replicate. Continuous learning and expertise in AI tools can also help researchers stay relevant in evolving technological environments.
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:
Quantitative UX Researcher, Search

Quantitative UX Researcher, Search

Google

New York, NY • On-site

Full-time

Posted 26 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

38th of 202 rated software companies


Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in an applied research setting or similar.
  • Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C , Java, or Go).
  • Experience in survey design and statistics.

Preferred qualifications:
  • Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
  • 3 years of experience working with executive leadership (e.g., director-level and above).
  • 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
  • Experience in programming computational and statistical algorithms for large data sets.
  • Knowledge of research questions within a given domain and technical tools for the analysis of data within that field.
  • Knowledge of descriptive, inferential, and multivariate statistics, including t-test and ANOVA, and experimental design.

About the job
At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Quantitative User Experience Researchers make this possible.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers who care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses.
As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers, product managers, and engineers about user needs. You'll play a critical role in creating useful, usable, and delightful products. You'll work with stakeholders across functions and levels and have impact at all stages of product development.
You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You'll combine skills in behavioral research design, statistical methods, and general programming to improve user experience.
The Quant UXR community at Google will help you do your best work. You'll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $132000 - $190000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Define and measure quantitative UX goals and metrics in collaboration with designers, qualitative researchers, data scientists, engineers, and program managers.
  • Develop code and statistical models to understand user experience.
  • Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets.
  • Examine existing data and product designs to generate hypotheses and plans for high-impact research.
  • Prioritize and drive research to improve user experience. Communicate findings to stakeholders in the company and make research findings convincing and actionable for both research experts and non-experts.

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 .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom