Description

MRS (Modern Recommendation System) provides centralized models and technologies that Facebook Video, Facebook Feed, Instagram, and Threads use to make their ranking and recommendations better. Moving forward, we aim to evolve this technology and significantly improve what content is recommended to users via an AI first strategy to build AI inspired, AI assisted, and AI driven tools and models.MRS is looking for a User Experience Research Lead who enjoys and excels in leading complex, strategic quantitative research. This role is ideal for a hands-on technical research leader who is interested in the future of AI and is excited to scale their expertise with cross-functional partners and qualitative/quantitative researchers across the company.

Quantitative AI UXR Lead - Modern Recommendation Systems 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 22+ years of relevant experience in user experience, applied research, product research and/or development, Master's degree and 20+ years relevant experience, or a PhD and 15+ years of relevant experience

Preferred Qualifications:

• 5+ years of experience leading other researchers in large-scale collaborations
• Hands-on experience assessing impact of generative AI on users
• Experience evaluating recommendation models

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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@fb.com.

$92.31/hour to $265,000/year + bonus + equity + 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.