Lead - systems

Summary:

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.

Required Skills:

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:

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:

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

Public Compensation:

$92.31/hour to $265,000/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.

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