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
Case study: A deployed content ranking model unexpectedly increased the spread of misinformation while improving time spent. Walk through an incident response plan from detection to mitigation: immediate actions, experiments to identify root cause, short-term protections, model fixes, cross-functional comms, and long-term prevention steps.
HardBehavioral
0 practiced
Describe a time you led a cross-team decision where mission alignment required delaying a product launch. How did you build the case for delay, handle stakeholders (including business pressure), mitigate business impact, and measure the outcomes of delaying release?
HardTechnical
0 practiced
As a senior ML engineer, how would you set team norms and code review standards to ensure product decisions reflect mission alignment, ethical considerations, and technical soundness? Provide concrete review checklist items, decision gates, and cultural practices you would institute.
HardSystem Design
0 practiced
Design a model governance and audit system to ensure every ML model at Meta is reviewed for mission alignment, fairness, privacy, and safety before production. Specify roles and responsibilities, automated and manual checkpoints, tooling, audit logs, and reporting flows for product leaders and regulators.
MediumTechnical
0 practiced
How would you build long-term cross-functional partnerships (policy, legal, product, research) to ensure ML features align with Meta's mission? Describe recurring rituals, collaboration touchpoints, shared success metrics, and escalation paths you would establish.
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