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Design a Ride Matching Ranker

HardSystem Design00:00
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Welcome to your interview.

The question is on your right: Design a Ride Matching Ranker. Take a moment with it first.

Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.

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Problem

Scenario

You are designing the ML architecture for a ride-sharing application. Riders request trips, nearby drivers are considered, and the system must decide which drivers to surface and in what order so pickups are fast and marketplace efficiency stays healthy.

Question

Design a scalable architecture for a ride-sharing application.

What this tests

  • Candidate retrieval for feasible drivers
  • ML ranking and constraint-aware re-ranking
  • Online serving versus batch feature computation
  • Cold-start, feature drift, and fallback handling