Machine Coding Sheet
Netflix Machine Coding Interview
Top low-level design (LLD) and machine coding questions frequently asked in Netflix interviews. Master these to clear the LLD round.
Overall progress
0/104 solved
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easy0/18
medium0/45
hard0/41
0/104
Solved
Infrastructure
0/4 solved
| Status | Star | Problem | Difficulty | Key Focus | Notes |
|---|---|---|---|---|---|
A/B Testing Library Asked by:NetflixMetaOptimizely+1 more | Medium | Hashing, User Bucketing | |||
Pub-Sub System (Kafka-lite) Asked by:LinkedInConfluentUber+1 more | Hard | Observer & Thread-safe Offset Streams | |||
Job Scheduler Asked by:GoogleAirbnbNetflix+1 more | Hard | Command & Observer Patterns, PriorityQueue, Exponential Backoff, Concurrent Locks | |||
Workflow Engine Asked by:TemporalUberNetflix+1 more | Hard | DAG Execution, Callback |
Search
0/1 solved
| Status | Star | Problem | Difficulty | Key Focus | Notes |
|---|---|---|---|---|---|
Search Ranking (Learning to Rank) Asked by:GoogleMicrosoftAmazon+1 more | Hard | NDCG, Feature Engineering |
Resilience
0/1 solved
| Status | Star | Problem | Difficulty | Key Focus | Notes |
|---|---|---|---|---|---|
Circuit Breaker Asked by:NetflixAWSGoogle+1 more | Medium | State Transitions (Open/Closed) |
Media
0/1 solved
| Status | Star | Problem | Difficulty | Key Focus | Notes |
|---|---|---|---|---|---|
Thumbnail Service Asked by:PinterestNetflixDropbox | Medium | Async Job Processing |
ML
0/1 solved
| Status | Star | Problem | Difficulty | Key Focus | Notes |
|---|---|---|---|---|---|
Video Recommendation Engine (LLD) Asked by:NetflixYouTubeByteDance | Hard | Feature Serving, Ranking |