Candidate Generation Interview Questions
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Atlassian ML System Design: Design Jira Recommender
Design a scalable Jira recommendation system with real-time personalization and candidate generation. Learn architecture, ML pipelines, and evaluation—prepare for interviews.
DoorDash ML System Design: Multi-Channel Restaurant Recs
DoorDash ML design: build a multi-channel restaurant recommender with candidate gen & personalization, low-latency serving and channel-specific delivery.
Microsoft ML System Design: Local Sports Team Recommender
Scalable recommender for local sports teams: data ingestion, candidate generation, ranking, real-time updates, and metrics. Prep for ML design interviews.
Palantir ML System Design: Scalable Music Recommender
Plan a scalable, low-latency music recommendation service for streaming platforms. Learn architecture, APIs, data models, and real-time updates for Palantir ML interviews.
Roblox ML System Design: Real-time Game Recommendations
Build a low-latency Roblox recommender that matches users to games using lifetime average playtime. Learn streaming aggregation, candidate generation and ranking.
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