Interview Question Intel

OpenAI Interview Questions

OpenAI focuses on coding and algorithmic challenges, especially in the Phone Screen and Technical Interview stages. Candidates should be prepared to tackle complex coding exercises, system designs, and ML concepts to succeed.

  • Expect algorithm-heavy coding rounds with a focus on clarity and efficiency.
  • Prepare for system design and product architecture challenges in later stages.
  • Machine learning questions combine coding and domain expertise, especially for MLE roles.
66 tracked posts45 rich source postsDominant stage Phone ScreenLatest tracked 2026-03-01Last 365 days

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.

Open leaked questions

Coding and LeetCode-style screens

35 mentions

Prepare for coding exercises built around high-frequency algorithm problems and coding efficiency.

What does the Refactoring Exercise in the OpenAI onsite mean?
I interviewed for MLE positions at a few companies.
Got rejected after the onsite at OpenAI.

System design and product architecture

26 mentions

Expect architecture-focused interviews that test your ability to make trade-offs and design robust systems.

I interviewed for MLE positions at a few companies.
Got rejected after the onsite at OpenAI.
OpenAI phone screen.

Machine learning and ML-adjacent signal

16 mentions

Prepare for ML-based coding challenges and model-oriented problem-solving, particularly for MLE positions.

I interviewed for MLE positions at a few companies.
Has anyone on the forum interviewed for the general SWE debug round at OpenAI?
OpenAI rejection experience ML coding

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 records

The Phone Screen is focused on coding challenges, with an emphasis on problem-solving skills and efficiency in coding.

Technical Interview

14 records

Technical interviews at OpenAI test coding, debugging, and system design skills, often with machine learning and product architecture questions.

Onsite

14 records

The onsite round typically includes system design discussions, machine learning problem-solving, and in-depth technical challenges.

Online Assessment

2 records

This stage appears in the dataset but does not yet have a richer written summary.

Outcome mix

Pending25 records
Rejected8 records
Offer6 records

What OpenAI usually signals

Clarity and efficiency in coding solutions.
Ability to communicate trade-offs during system design.
Strength in solving ML and algorithm-based challenges.

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…

Phone ScreenWhat does the Refactoring Exercise in the OpenAI onsite mean?

Given a piece of code, refactor it to improve readability, efficiency, or maintainability while preserving functional integrity. Provide test c…

Phone ScreenWhat does the Refactoring Exercise in the OpenAI onsite mean?

How to debug ML coding and modify a transformer?

Technical InterviewI interviewed for MLE positions at a few companies.

How to improve the user experience when ChatGPT doesn't know the answer?

Technical InterviewI interviewed for MLE positions at a few companies.

How to filter high-quality math documents from crawled data?

Technical InterviewI interviewed for MLE positions at a few companies.

Given a starting position of a robot and a sequence of movement instructions, determine if the robot…

Technical InterviewDoes anyone know what the Transformers problem is?

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

Focus on LeetCode-style questions and system design practice.
Review key machine learning concepts, especially in applied settings.
Prepare for coding challenges that test optimization and edge case handling.
GhostInterview Solver

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.

Use GhostInterview to conduct your coding rounds in a stealth mode, tracking performance and pinpointing weak areas.
Use GhostInterview during system design rounds to structure the architecture, trade-offs, and follow-up answers in real time.
Use GhostInterview with its stealth-first workflow so the guidance stays off supported screen shares while you handle constraint changes, optimizations, and edge cases.

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.

Open OpenAI leaked questions

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.