OpenAI Interview Questions

Review this list of 28 OpenAI interview questions and answers verified by hiring managers and candidates.
  • OpenAI logoAsked at OpenAI 
    Product Manager
    Behavioral
    +5 more
  • OpenAI logoAsked at OpenAI 

    "I fumbled but my answer was along these lines Clarification: Are we talking about ChatGPT page or other ways to use it like API Ans: page When you say improve did you mean usage or monetization Ans: you pick We should pick user experience and usage since better product will enable easier monetization. Assume they monetize based on premium users subscription. Lets talk about users Business users Individual users Focus on business since traffic generated by individuals will not be as mu"

    Manoj K. - "I fumbled but my answer was along these lines Clarification: Are we talking about ChatGPT page or other ways to use it like API Ans: page When you say improve did you mean usage or monetization Ans: you pick We should pick user experience and usage since better product will enable easier monetization. Assume they monetize based on premium users subscription. Lets talk about users Business users Individual users Focus on business since traffic generated by individuals will not be as mu"See full answer

    Product Manager
    Product Design
  • +1

    "Over-fitting of a model occurs when model fails to generalize to any new data and has high variance withing training data whereas in under fitting model isn't able to uncover the underlying pattern in the training data and high bias. Tree based model like decision tree and random forest are likely to overfit whereas linear models like linear regression and logistic regression tends to under fit. There are many reasons why a Random forest can overfits easily 1. Model has grown to its full depth a"

    Jyoti V. - "Over-fitting of a model occurs when model fails to generalize to any new data and has high variance withing training data whereas in under fitting model isn't able to uncover the underlying pattern in the training data and high bias. Tree based model like decision tree and random forest are likely to overfit whereas linear models like linear regression and logistic regression tends to under fit. There are many reasons why a Random forest can overfits easily 1. Model has grown to its full depth a"See full answer

    Machine Learning Engineer
    Concept
    +2 more
  • OpenAI logoAsked at OpenAI 

    "Reinforcement Learning is a type of machine learning where an agent learns to make decisions by trying out different actions and receiving rewards or penalties in return. The goal is to learn, over time, which actions yield the highest rewards. There are three core components in RL: The agent — the learner or decision-maker (e.g., an algorithm or robot), The environment — everything the agent interacts with, Actions and rewards — the agent takes actions, and the environmen"

    Constantin P. - "Reinforcement Learning is a type of machine learning where an agent learns to make decisions by trying out different actions and receiving rewards or penalties in return. The goal is to learn, over time, which actions yield the highest rewards. There are three core components in RL: The agent — the learner or decision-maker (e.g., an algorithm or robot), The environment — everything the agent interacts with, Actions and rewards — the agent takes actions, and the environmen"See full answer

    Machine Learning Engineer
    Concept
    +1 more
  • OpenAI logoAsked at OpenAI 
    Machine Learning Engineer
    Concept
    +1 more
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  • OpenAI logoAsked at OpenAI 
    +1

    "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"

    Surbhi G. - "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"See full answer

    Machine Learning Engineer
    Concept
    +3 more
  • Product Manager
    Product Strategy
  • OpenAI logoAsked at OpenAI 
    Product Manager
    Product Strategy
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