What shows up most at OpenAI
These are the question clusters that appear most often in the raw records and should shape how candidates allocate prep time.
Coding and LeetCode-style screens
35 mentionsPrepare for coding exercises built around high-frequency algorithm problems and coding efficiency.
System design and product architecture
26 mentionsExpect architecture-focused interviews that test your ability to make trade-offs and design robust systems.
Machine learning and ML-adjacent signal
16 mentionsPrepare for ML-based coding challenges and model-oriented problem-solving, particularly for MLE positions.
Where OpenAI puts the most pressure
The stage distribution tells candidates where the loop concentrates effort and what kind of reasoning tends to matter most in each round.
Phone Screen
29 recordsThe Phone Screen is focused on coding challenges, with an emphasis on problem-solving skills and efficiency in coding.
Technical Interview
14 recordsTechnical interviews at OpenAI test coding, debugging, and system design skills, often with machine learning and product architecture questions.
Onsite
14 recordsThe onsite round typically includes system design discussions, machine learning problem-solving, and in-depth technical challenges.
Online Assessment
2 recordsThis stage appears in the dataset but does not yet have a richer written summary.
Outcome mix
What OpenAI usually signals
Representative questions from the visible record set
These examples help users understand the concrete question flavor without dumping the entire raw database into the public page.
Given a piece of code, refactor it to improve readability, efficiency, or maintainability while pres…
Given a piece of code, refactor it to improve readability, efficiency, or maintainability while preserving functional integrity. Provide test c…
How to debug ML coding and modify a transformer?
How to improve the user experience when ChatGPT doesn't know the answer?
How to filter high-quality math documents from crawled data?
Given a starting position of a robot and a sequence of movement instructions, determine if the robot…
How to prepare for OpenAI
The prep layer should stay practical: what to review, which LeetCode patterns recur, and how GhostInterview fits the live round instead of just prep week.
Prep focus
Use GhostInterview during the actual interview
GhostInterview is not just for prep. Use it during live interview loops and follow-up pressure while the conversation is still happening. On supported platforms, the overlay is designed to stay hidden on screen share.
Related LeetCode patterns
These are the recurring problem families worth reviewing before a similar loop.
Array
Arrays are central in coding rounds, requiring efficient algorithms and handling of edge cases.
Hash Table
Hash tables are commonly used in algorithmic problems, especially for optimizing time complexity.
Tree
Tree problems are frequent and demand understanding of recursion and efficient tree traversal techniques.
Open representative OpenAI records
This public page summarizes the pattern. The database is where users inspect the actual record detail, stage context, and full write-up.
2026 Q1 · Technical Interview · Offer
OpenAI technical interview record for a Software Engineer role that ended in offer. Technical Interview record for OpenAI for a Software Engineer role. Is the team match…
Open in leaked questionsOpenAI phone screen.2026 Q1 · Phone Screen · Offer
OpenAI phone screen record for a Software Engineer role that ended in offer. Phone Screen record for OpenAI for a Software Engineer role. Coding: social network. 3 round…
Open in leaked questionsNew question from OpenAI.2026 Q1 · Technical Interview · Unknown
OpenAI technical interview record for a Software Engineer role. Technical Interview record for OpenAI for a Software Engineer role. I just finished the system design int…
Open in leaked questionsRelated GhostInterview pages
FAQ
What is the focus of the Phone Screen at OpenAI?
The Phone Screen primarily tests your coding ability, focusing on algorithmic challenges and your problem-solving approach.
How should I prepare for OpenAI’s Technical Interview?
In addition to coding practice, focus on system design, architecture trade-offs, and machine learning questions relevant to your role.
What kind of system design questions should I expect?
Expect questions around product or platform design, where you will need to discuss trade-offs and scalability.
Are there any machine learning questions in the interview?
Yes, machine learning and ML-adjacent topics are important, especially for MLE roles, where coding and domain knowledge overlap.
Can GhostInterview help during the actual OpenAI interview?
Yes. Use GhostInterview during live coding rounds, system design discussion, and follow-up pressure while the interview is happening. On supported platforms, the overlay is designed to stay hidden on screen share.
