OpenAI Interview Questions

Tim W. - "Clarify "What do you mean by favorite product? Are you thinking specifically hardware, software, or a feature within those, or something non-electronic? Dealer's Choice. "Are you asking why I love this product, or to explain why this product is a market leader independent of how i feel about it? Talk about why YOU love this product. Rephrase Question With all that in mind, i want to rephrase the question. "What is your favorite software product and what features in this product"See full answer

Sreenisha S. - "Let me tell you about a time where a website I managed suddenly showed slow performance and the mistake on our side was it was unnoticed until a user reported the issue to management. As a PM for that project, I took full responsibility of the situation and worked with the engineering team to quickly resolve it. This mistake taught me the importance of focusing and monitoring non functional requirements as well in addition to new feature development /adoption where I was mostly spending my time"See full answer

Aabid S. - "We had a huge launch on September 1st of this year where we completely redesigned our application from the grounds up and also migrated to a new platform (React.JS). This project took us 8 months and the launch was a huge deal for the team. Unfortunately the launch wasn't as smooth as we expected and despite doing multiple rounds of QA, some major issues cropped up in the core part of the app right after launch and our client was quite upset since it was disrupting their day-to-day workflow. "See full answer

Aabid S. - "I work at a startup that makes software for Law Enforcement and the FBI. Our product analyzes calls being made by prison inmates and "listens" for predictors of violence and criminal behavior. Our clients are some of the top state prisons in the country. Recently one of the largest states in the country decided to evaluate our product for their prison system. I demo'd the product to the officers and they seemed to like everything. During the presentation they asked us if the product was ADA com"See full answer

Ayinde B. - "I was working for my friend building streams at venues across the Chicago land area for FGC (fighting game tournaments), I adjusted and engineered his equipment to be set up permanently that's until covid came around at least. I used OBS to give visual appearances to stream watchers. So we're talking about subscribe, follow, and donation notifications and things of that nature for viewers to know they contributed in one of those ways. I set up proper sign-up scheduling for participants to lock t"See full answer

Alex N. - "The adjusting context window size in LLM change trade off between reasoning capability, accuracy, computation cost. It influence how attention mechanist allocate resources across the input. Longer context window let it you input greater number of words and have more context to generate proper next token. However llms have lost in the middle issue. They remember the beginning of text and end of text but lost information located in the middle of long input. Another problem is Attention Dilution."See full answer

Malay K. - "For any project based questions, it is important to structure your response clearly, showcasing your thought process, technical skills, problem-solving abilities, and how your work added value. Besides the STAR method, you can also use this kind of framework: 1. Start by selecting a relevant project (related to the role) Give the project background and what specific problem it solved. 2. Align the project's objective and your role Be specific about your role: were you the le"See full answer

Aneesh M. - "In the Slack system design interview, I proposed a WebSocket-based architecture for real-time messaging, supported by a network of distributed chat servers. To track user connections and route messages efficiently, I leveraged ZooKeeper as a service registry and designed peer-to-peer communication between servers. For the data layer: • I used PostgreSQL to manage relational data such as users and chat participants. • Cassandra was chosen for high-throughput, scalable message storage with dura"See full answer

Anonymous Partridge - "We will have to use a second more powerful LLM Model to validate the answers. LLM as a judge"See full answer

Shraddha D. - "I like chatgpt for the following users Getting industry references are easy and time saving Getting recommendations is very easy Responses are accurate I use chatgpt to get feedback on content and identify gaps in my documentation or thought process I use chatgpt as a search engine and to get conscise situation based information. Chatgpt offers varierty of other tools in the explore version where similar users can create different content PRD template Chatgpt users 1."See full answer

Robert H. - "The addition of an intermediate "sanitization" ML is something Neeraj used in the Uber Eats design and again seems kind of outside the scope here and redundant. This can simply be built into the AI response model to save a step. It's not clear what benefit this step provides, and he basically said we should have it "just because it would be good" and there's no concrete reasoning why to include it. Adding a Kafka queue to handle the thumbs-down ratings? For what purpose do you need a queue othe"See full answer