Meta’s UX Research team designs for the global spectrum of human needs, which requires a deep understanding of the behaviors and motivations of the people behind them. Researchers at Meta tackle complex challenges to uncover insights into how people interact with technology, each other, and the world around them.

In this role, you will collaborate closely with product teams to generate insights that inform products used by billions of people worldwide. Using a range of qualitative and quantitative research methods—including surveys, focus groups, field studies, usability testing, and 1:1 interviews—you will help guide the development of experiences across Meta’s platforms.

Researchers at Meta come from diverse backgrounds and perspectives, and we value individuals who are curious about the relationship between technology and society, committed to rigorous research, and comfortable working in a fast-moving environment.

This job description represents multiple full-time UX Research roles across Meta.

Key Responsibilities
• Work closely with product and business teams to identify research topics
• Serve as a thought leader in research while advocating for the needs and perspectives of users
• Design and execute end-to-end primary research using a wide variety of research methods
• Develop studies that explore both user behavior and attitudes
• Work independently and manage research initiatives autonomously
• Manage and prioritize research plans within fast-moving and ambiguous environments
• Align stakeholders and execute research insights across large cross-functional teams
• Communicate research findings and recommendations through compelling presentations and storytelling
• Collaborate with design, product management, engineering, content strategy, and marketing teams
• Generate insights that inform product ideation and evaluate design solutions

Minimum Qualifications
• Bachelor’s degree with 10+ years of relevant experience in UX research, applied research, or product research and development
OR Master’s degree with 8+ years of relevant experience
OR PhD with 5+ years of relevant experience
• Experience coding with R, SQL, STATA, SPSS, or equivalent tools
• Experience with survey design and response effects
• Experience applying statistical analysis methods such as regressions, ANOVA, and T-tests
• Experience conducting hands-on primary research
• Ability to translate research findings into strategic narratives and actionable insights

Preferred Qualifications
• Degree in a human behavior-related field such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics
• Experience with consumer products, consumer insights, or product development

About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook launched in 2004, Meta’s platforms—including Messenger, Instagram, and WhatsApp—have empowered billions of people around the world to communicate and build communities.

Today, Meta is moving beyond traditional screens toward immersive technologies such as augmented and virtual reality, helping shape the next evolution of social technology.

Compensation
Base Salary Range: $164,000 – $227,000 USD per year

Additional compensation may include:
• Performance bonus
• Equity awards
• Comprehensive benefits package

Final compensation will depend on experience, skills, qualifications, and location.

Equal Opportunity
Meta is an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants will receive consideration without regard to race, religion, gender, sexual orientation, disability, veteran status, or other legally protected characteristics.

Meta also considers qualified applicants with criminal histories consistent with applicable laws and participates in the E-Verify program in certain locations.

Accessibility
Candidates requiring accommodations during the recruitment process may contact accommodations-ext@meta.com.

Meta may use artificial intelligence and machine learning technologies during the hiring process.