OpenAI
Leading AI research laboratory developing state-of-the-art foundation models like GPT-4.
5 Rounds
~21 Days
Very Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
•
Coding
•
medium
Write a highly optimized self-attention mechanism in PyTorch from scratch. Include support for causal masking and explain the tensor shapes at each step.
#PyTorch
#Transformers
#Linear Algebra
Machine Learning Engineer
•
Coding
•
medium
Implement Top-K and Nucleus (Top-p) sampling given a tensor of logits. Ensure your implementation is numerically stable and efficient.
#Probability
#PyTorch
#Algorithms
Machine Learning Engineer
•
Coding
•
easy
Implement the Softmax function. Modify your implementation to ensure numerical stability when dealing with very large logits.
#Math
#Python
Machine Learning Engineer
•
Coding
•
hard
Write a PyTorch script to manually parallelize a simple feed-forward network across 2 GPUs using naive pipeline parallelism. Handle the forward and backward passes.
#PyTorch
#Distributed Computing
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.