OpenAI Research Engineer Interview Questions
The questions to prepare for a OpenAI Research Engineer interview. Questions from real interview reports rank first. Updated daily.
Repair a Python rate limiter by enforcing per-client sliding windows without races, deadlocks, or unnecessary lock contention.
OpenAIFix four bugs in a causal scaled dot-product attention implementation so all transformer tests pass.
OpenAIDesign an end-to-end system that adapts LLMs for search, retrieval, ranking, and relevance evaluation.
OpenAIDesign an end-to-end retrieval-augmented generation system with grounded answers, reliable serving, and measurable retrieval quality.
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Implement matrix multiplication forward and backward passes in PyTorch, then verify analytical gradients against autograd and finite differences.
OpenAIUse Pandas and scikit-learn pipelines to clean, select, transform, and validate data before training an ML model.
OpenAIDebug a miniature causal language model by tracing tokenization, tensor shapes, masking, loss alignment, and autoregressive decoding.
OpenAIEvaluates your ability to define metrics and compute performance and reliability for scheduling systems.
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