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Updated weekly · Last refresh Oct 17

OpenAI Research Scientist Interview Questions

The questions to prepare for a OpenAI Research Scientist interview. Questions from real interview reports rank first. Updated daily.

50questions
~7htotal time
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1
Model EvaluationStart here. 10 questions · ~84 min
Measure Model Overfitting During TrainingEasy
Recently asked

Explain how to detect overfitting during training by comparing train and validation performance over time.

Cross-ValidationLoss LogAccuracyOpenAI
Identify Underfitting vs OverfittingEasy
Recently asked

Explain how to tell whether a model is underfitting or overfitting from train and validation performance.

Cross-ValidationLoss LogAccuracyOpenAI
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2
NLP10 questions · ~84 min
3
Machine Learning10 questions · ~84 min
Bias-Variance Tradeoff in PracticeMedium
Recently asked

Explain the bias-variance tradeoff and how it guides model choice, regularization, and generalization performance.

Cross-ValidationBias-Variance TradeoffRegularizationOpenAI
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4
Statistics & Probability6 questions · ~50 min
Compute KL DivergenceHard
Recently asked

Compute forward, reverse, and optionally symmetric KL divergence for two discrete random variables.

Distributionsstatistics fundamentalsprobabilityOpenAI
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5
Coding10 questions · ~84 min
Transformer Block From ScratchMedium
Recently asked

Tests your ability to implement core transformer components correctly and efficiently.

OpenAI
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6
More topics4 questions · ~34 min
Prioritize Safety and Utility in GPT-4 FeaturesHard
Recently asked

Design an eval-first framework for balancing utility, hallucination risk, prompt injection, and latency in a GPT-4 product feature.

product designHallucinationsafetyOpenAI
Design an End-to-End Real-Time Sensor SystemHard
Recently asked

Evaluates system design skills for latency, reliability, and end-to-end data flow.

real-time systemsOpenAI
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