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Prep plan
Updated weekly · Last refresh Oct 17

OpenAI AI Research Scientist Interview Questions

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

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1
Machine LearningStart here. 11 questions · ~102 min
Preventing Catastrophic ForgettingHard

Design a fine-tuning strategy that improves narrow-domain performance while preserving the LLM's general capabilities.

RegularizationDeep Learningmodel fine-tuningOpenAI
Limitations of Frontier LLMsMedium

Tests critical evaluation of LLM capabilities and awareness of gaps relevant to OpenAI research.

OpenAI
Efficient LLM Inference StatusMedium
Recently asked

Tests knowledge of inference optimization techniques and tradeoffs for production-scale systems.

OpenAI
RLHF vs DPO TradeoffsMedium

Tests understanding of alignment approaches and your ability to reason about when they succeed.

OpenAI
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2
Coding3 questions · ~28 min
Transformer Block in PyTorchHard
Practice

Implement scaled multi-head attention, residual connections, layer normalization, and a feed-forward transformer block.

backpropagationCodingAlgorithmsOpenAI
Debugging Plateaued LossMedium

Tests systematic debugging, training diagnostics, and hypothesis-driven investigation.

OpenAI
Distributed Training With FSDPMedium

Tests ability to implement scalable training infrastructure for large models.

OpenAI

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3
More topics2 questions · ~19 min
Research to Production CollaborationMedium
Recently asked

Tests cross-functional communication and ability to translate research into deployable systems.

OpenAI
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