OpenAI Interview Questions

The OpenAI interview loop typically runs in the following order:

1. 1Recruiter screen
2. 2Technical screen
3. 3Onsite: 5 rounds (2 coding, 1 ML systems / research depth, 1 architecture, 1 mission alignment)

These questions represent patterns seen across multiple OpenAI interview loops reported by candidates in 2024–2026.

1. 1

   Build a tool that calls the OpenAI API and parses structured outputs in 60 minutes.

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2. 2

   Design ChatGPT's inference infrastructure to serve 100M users.

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3. 3

   How would you reduce the cost of running an LLM by 10x?

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4. 4

   Walk me through fine-tuning vs RLHF vs DPO — when do you choose each?

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5. 5

   Design a vector database for retrieval at trillion-token scale.

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6. 6

   How do you safely deploy a new model to production?

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7. 7

   Tell me about your views on AGI safety.

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8. 8

   Implement attention from scratch in PyTorch.

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9. 9

   Design an agent framework that can use tools and self-correct.

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10. 10

    How do you evaluate an LLM beyond benchmarks?

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Behavioral rounds at OpenAI map directly to these values. Prepare one STAR story per value.