OpenAI Interview Question Bank
OpenAI pairs an unusually high raw-coding bar with explicit no-AI-tools rules during most interviews — a deliberate contrast with the product. Phone screens often run a single multi-part simulation for the full hour, and senior loops add deep ML and research-grounded system-design rounds that probe mechanism, not vocabulary.
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OJ Problems
practice in the online judgeImplement Causal Self-Attention with a KV CacheGuess a Secret Number with One-Call Delayed FeedbackImplement Cross-Entropy Loss1-Nearest Neighbor ClassificationPrefix Product AutogradDependency-Aware Multi-Agent Request SchedulerGPU Credit System with Validity WindowsIn-Memory Key-Value Store with SerializationVectorized 1-Nearest Neighbor and Neural-Network FormulationImplement a Work Queue with Leases, Retries, and a Dead-Letter QueueVersioned User Follow Graph with SnapshotsSnapshot SetTopological Sort of Task DependenciesImplement a Durable Key-Value Store with File SegmentationIn-Memory KV Store with Log-Based RecoveryImplement a Memory Allocator with First-Fit and Best-FitFriend Circles / Number of ProvincesCount Machines in a Cluster Tree and Recover Tree TopologySharded Matrix Multiplication and BackpropagationImplement a Simple Memory Allocator with First-Fit and Best-FitImplement Masked Cross Entropy Loss with Label SmoothingMaximum Falling Path with Limited Vertical Jumps and Bonus ScoringIn-Memory Memory Allocator with malloc/free, First-Fit and Best-FitMessage Event Aggregation in a 5-Minute Sliding WindowBuild a ChatGPT Chat Interface in an Existing iOS ProjectFind the Incorrect Data LabelerMinimum Time to Infect a NetworkRestore Valid IPv4 AddressesPlant Infection by Neighbor CountInfection Spread with Immune Units and Expiring Contagiousness