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
Practicing as: Software Engineer interview at PetuumHi, I'll play your Petuum interviewer for the Software Engineer role. Candidates describe these interviews as often stressful and moderately difficult, so expect me to be direct and to the point. Take your time with the question above and answer like we're in the room.
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