Code Room
System designHard
Question
Design the ML system behind an ads-targeting and real-time-bidding service that, for each ad opportunity, selects and ranks candidate ads and computes a bid within a 50ms p99 budget at 100k requests/sec. It must predict click and conversion probability, respect per-advertiser budgets and pacing, and run a second-price-style auction. Cover candidate selection, the prediction models, how bids and budgets are managed, and the calibration requirement.
What a strong answer looks like
Clarify scale and constraints first. Propose a clean component breakdown, then go deep on the hard parts — data model, bottlenecks, consistency, failure modes — and name the trade-offs you are making.
Learn the concepts
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