Quantitative AI UXR Lead - Modern Recommendation Systems at Meta

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Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

R, SQL, Python, Survey Design, Statistical Analysis, Regressions, ANOVA, T-Tests, Primary Research, User Experience, Applied Research, Product Research, Generative AI, Recommendation Models

Industry

Software Development

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. 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 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 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

Responsibilities

Lead complex, strategic quantitative research for Modern Recommendation Systems. Collaborate with product and business teams to generate insights that inform design and ideation.