Summary:

Our UX Research team is designing for the broad spectrum of human needs, which requires us to deeply understand the behaviors of the people behind them. Our researchers tackle some of the most complex challenges to gain deeper 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. This job description represents different full-time roles across Meta.

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. Our team brings varied expertise and professional experiences.

We're looking for effective communicators who can present research findings to technical and non-technical stakeholders who are knowledgeable about research devoted to understanding people, and curious about the relationship between technology and society.

Required Skills:

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 Work independently and autonomously 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 Communicate results and recommendations through clear presentations, reports, and data visualizations tailored to diverse stakeholder audiences Work cross-functionally with design, product management, content strategy, engineering and marketing Generate insights that both fuel ideation and evaluate designs

Minimum Qualifications:

Minimum Qualifications:

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 of relevant experience, or PhD and 8+ years relevant experience Experience coding with R or Python 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 Experience translating research findings into strategic narratives

Preferred Qualifications:

Preferred Qualifications:

Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics 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) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with consumer products, consumer insights, or product development

Public Compensation:

$164,000/year to $227,000/year + bonus + equity + benefits

Industry:

Internet Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon 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 accommodations-ext@meta.com.