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Motivation for Meta's Mission Questions

Explores why a candidate wants to work at Meta, how their personal and professional motivations align with Meta's mission and values, and how they would contribute to Meta's goals. Addresses authenticity, long-term alignment, passion for the product and impact, cultural fit, and the ability to articulate a compelling narrative.

HardTechnical
0 practiced
As a senior data scientist, how would you influence Meta's product roadmap to prioritize long-term societal value over short-term growth metrics? Provide a strategy for persuasion, specific alternative metrics you would propose, and ways to measure long-term value.
EasyTechnical
0 practiced
Which parts of Meta's stated mission and core values resonate most with you as a data scientist? Provide concrete examples of how those values would influence the way you select problems, design models, and communicate findings while working at Meta.
MediumSystem Design
0 practiced
Provide a concise bulleted plan for scaling a personalized model to Meta's global user base. Address data localization, latency and serving strategies, regional performance variation, local privacy regulations, and how you would preserve mission-aligned outcomes across regions.
MediumTechnical
0 practiced
What current machine learning or data science trend excites you most that could help further Meta's mission? Pick one trend, explain concrete product applications at Meta, list potential risks, and outline an experiment you would run to validate its value.
MediumTechnical
0 practiced
A product leader asks you to optimize a model for short-term retention. You suspect this will lead to manipulative patterns harming community well-being. How do you evaluate the request, and which alternative metrics or approaches would you propose that align with Meta's values?

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