Does OpenAI ask for LeetCode?

Yes, OpenAI does ask candidates to solve LeetCode-style coding problems as part of its technical interview process, especially for roles related to software engineering, machine learning engineering, and other technical positions. The problems typically focus on algorithms, data structures, and problem-solving skills—similar to the types of questions you would find on platforms like LeetCode, HackerRank, or CodeSignal.

What to Expect in OpenAI's Technical Interviews

1. Coding Problems:

   • OpenAI interviews often include questions on data structures and algorithms, such as arrays, trees, graphs, dynamic programming, sorting, and searching. These are classic topics you’ll encounter on platforms like LeetCode.
   • You may be asked to solve problems involving:
     • Arrays and strings
     • Linked lists
     • Trees and graphs
     • Dynamic programming
     • Sorting and searching algorithms
   • The difficulty of these questions can range from medium to hard, similar to problems tagged as such on LeetCode.

2. System Design Interviews:

   • For more senior roles or positions that involve designing scalable systems (e.g., machine learning infrastructure, distributed systems), OpenAI also conducts system design interviews. These interviews assess your ability to design large-scale, efficient systems.
   • For preparing, you can refer to resources like Grokking the System Design Interview, which provides real-world examples of system design problems and how to approach them.

3. Machine Learning and AI-Specific Questions:

   • OpenAI may also ask machine learning or AI-specific questions, depending on the role. These include questions on neural networks, reinforcement learning, and deep learning models, in addition to coding problems.

How to Prepare for OpenAI Interviews

1. LeetCode: Practice coding problems on LeetCode, focusing on medium and hard problems related to arrays, dynamic programming, and graph theory. These are common in technical interviews, especially for AI and machine learning roles.

2. Algorithm and Data Structures: Make sure you understand the underlying concepts behind the most commonly asked algorithms and data structures. Courses like Grokking Data Structures & Algorithms for Coding Interviews can help solidify these concepts.

3. Mock Interviews: Engage in mock coding interviews to simulate the real-world pressure of OpenAI’s technical rounds. Platforms that provide feedback can be especially helpful for refining your approach.

Final Thoughts

Yes, OpenAI often asks LeetCode-style questions during its technical interviews, particularly in the areas of data structures, algorithms, and problem-solving. To prepare effectively, practice coding problems, work on system design, and strengthen your understanding of algorithms and AI concepts. Resources like Grokking the Coding Interview: Patterns for Coding Questions can be very helpful for structured interview preparation.