OpenAI
Leading AI research laboratory developing state-of-the-art foundation models like GPT-4.
5 Rounds
~21 Days
Very Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Scientist
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Technical
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hard
If we want to personalize the ChatGPT experience based on past interactions, what data points would you use and how would you evaluate the risk of catastrophic forgetting in the model?
#Personalization
#Continual Learning
#Memory
Data Scientist
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Technical
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hard
Explain the statistical and practical trade-offs between using Reinforcement Learning from Human Feedback (RLHF) versus Direct Preference Optimization (DPO) for aligning a language model.
#RLHF
#DPO
#Model Alignment
Data Scientist
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Technical
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medium
How would you identify and mitigate bias in a dataset used to fine-tune our moderation endpoint to ensure it doesn't disproportionately flag text from specific demographic dialects?
#Bias Mitigation
#Data Quality
#Content Moderation
Data Scientist
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Technical
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hard
How would you design an automated evaluation metric to detect and quantify hallucinations in a new iteration of the GPT-4 model without relying entirely on human annotators?
#LLM Evaluation
#Hallucination Detection
#Auto-Evals
Data Scientist
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Technical
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hard
How do you evaluate the quality of text embeddings generated by our API without relying entirely on downstream task performance?
#Embeddings
#Unsupervised Evaluation
#NLP
Data Scientist
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Technical
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hard
Explain the trade-offs between using RLHF (Reinforcement Learning from Human Feedback) versus DPO (Direct Preference Optimization) from a data collection and evaluation standpoint.
#RLHF
#DPO
#Model Alignment
Data Scientist
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Technical
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hard
How would you build an automated metric to quantify 'hallucinations' in a RAG-based enterprise deployment?
#Hallucination Detection
#RAG
#LLM-as-a-judge
Data Scientist
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Technical
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hard
We notice a degradation in coding performance (e.g., HumanEval scores) in the latest model checkpoint. How do you investigate if this is a real regression or an artifact of the evaluation set?
#Model Evaluation
#Debugging
#Data Contamination
Data Scientist
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Technical
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hard
Describe how you would design a reward model for a specific domain, like medical advice, where accuracy is critical but human raters might frequently disagree.
#Reward Models
#Data Annotation
#Domain Expertise
Data Scientist
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Technical
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medium
What is perplexity, and why is it sometimes a misleading metric for evaluating the final conversational quality of an aligned LLM?
#Perplexity
#Information Theory
#Model Alignment
Data Scientist
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Technical
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medium
How would you cluster millions of user prompts to identify emerging use cases for ChatGPT without manually labeling the data?
#Clustering
#Topic Modeling
#Unsupervised Learning
Software Engineer
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Coding
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medium
Write a function to compute the self-attention matrix given Query, Key, and Value matrices, including the softmax step.
#Linear Algebra
#Matrix Multiplication
#Transformers
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.