Motivation for Airbnb and Role Understanding Questions
Candidate's motivation for joining Airbnb and their understanding of the role, including alignment with Airbnb's culture, values, and product domain, to assess fit during the interview process.
HardSystem Design
53 practiced
Draft a plan to evaluate migrating from a monorepo-based ML codebase to microservice-based model serving. Discuss developer productivity, model versioning strategies, deployment velocity, testing, and operational overhead, and how you'd roll forward or back.
HardTechnical
53 practiced
Design a robust audit and versioning system for models in regulatory-sensitive domains (pricing or anti-discrimination). Include immutable logs, retraceable data lineage, model hashes, reproducible training records, and an audit UI for reviewers and regulators.
MediumTechnical
58 practiced
Airbnb scales training across many GPUs. Compare data parallelism, model parallelism, and hybrid approaches. For a large transformer-style ranking model, which approach would you choose and why? Discuss communication overhead, memory constraints, and engineering complexity.
EasyTechnical
59 practiced
How does Airbnb's two-sided marketplace (hosts and guests) change how you define ML objectives and evaluate models? Give examples of metrics that may conflict across sides and describe strategies to balance those trade-offs.
MediumTechnical
52 practiced
Design guardrails for running experiments that could negatively affect hosts (for example increased cancellations) when testing a new matching algorithm. Include canarying strategies, guardrail metrics, early-stop criteria, and rollback plans.
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