This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
Our UX Research team is designing for the broad spectrum of human needs, which requires us to understand the behaviors of the people behind them. Our researchers tackle some of the most complex challenges to gain insights into how people interact with each other and the world around them, and work collaboratively to contribute new ideas to products that impact the experiences of billions of people on a global scale. We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys, focus groups, field studies, usability tests, and 1:1 interviews. We value a wide‑range of perspectives and stem from many different backgrounds.
UX Researcher, Quantitative Responsibilities
Work closely with product and business teams to identify research topics
Act as a thought leader in the domain of research, while advocating for the people who could use our products
Design and execute end‑to‑end custom primary research using a wide variety of methods
Design studies that address both user behavior and attitudes
Effectively manage and prioritize research plans through ambiguous and fast‑changing environments, align and efficiently execute critical insights and work with a large group of stakeholders
Generate insights that both fuel ideation and evaluate designs
Minimum Qualifications
Experience coding with R, SQL, Python or equivalent
Experience with survey design and response effects
Experience applying statistical analysis methods such as Regressions, ANOVA, and T-Tests
Interest in and experience executing hands‑on, primary research
Bachelor's degree with 13+ years of relevant experience in user experience, applied research and/or product research and development or a Master's degree and 11+ years relevant experience, or PhD and 8+ years relevant experience
Preferred Qualifications
Hands‑on experience assessing impact of generative AI on users
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
5+ years of experience leading other researchers in large‑scale collaborations
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
$193,003/year to $266,000/year plus bonus, equity and benefits.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
#J-18808-Ljbffr
Worksite address
menlo park, CA, 94029, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.