Design enterprise file recommendations under ACLs
Company: Dropbox
Role: Data Scientist
Category: Machine Learning
Difficulty: medium
Interview Round: Technical Screen
Overview: Design a recommender that suggests the next files an enterprise user will open in a productivity suite, serving many tenants from shared infrastructure. Access controls must be enforced before ranking, with no data or model leakage across tenants, under a tight latency budget and continuously changing permissions.
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