Senior UX Quantitative Researcher, Search

GoogleNew York, NY, USA; Mountain View, CA, USA; +2 more; +1 more

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.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; San Francisco, CA, USA.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
6 years of experience in product research in an applied research setting, or similar.
Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R,MATLAB MATLAB, C++, Java, or Go).

Preferred qualifications:

Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
Experience working with AI model training and communicating research to cross-functional partners, stakeholders, and executives.
Experience shaping and executing research programs in ambiguous spaces with a focus on understanding the product/market landscape.
Knowledge of a wide range of research methodologies, including their strengths, weaknesses, and optimal application in the product life-cycle.
Ability to distill complex problem spaces into understandable frameworks.
Excellent systems-thinking, written and verbal communication skills.

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, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.

You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.

In this role, you will support one of our core AI Model Quality teams, driving the creation of trusted and helpful experiences for users interacting with AI on Search. You will set the direction for both near-term improvements and the long-term goal for AI interactions on Google Search.

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.\\

The US base salary range for this full-time position is $151,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Conduct primary research to support teams working on quality and trust of AI features on Search.
Partner with cross-functional partners across product, content design, and data science to develop insights and align model training methods to best serve user needs.
Establish a decisive user-centered point of view to guide product strategy.
Support the development of the research roadmapping and aligning, recommending how research resources are allocated on this roadmap.
Understand and utilize the strengths and shortcomings of different research methods, including when and how to apply them during the product development process.

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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.

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