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
•
hard
Implement Multi-Head Attention from scratch in PyTorch. Ensure it is batched and optimized for memory.
#PyTorch
#Transformers
#Linear Algebra
Machine Learning Engineer
•
Technical
•
medium
Explain the mathematical intuition behind Rotary Position Embeddings (RoPE) and why it is preferred over absolute positional embeddings in modern LLMs.
#Mathematics
#Transformers
#Architecture
Machine Learning Engineer
•
Technical
•
hard
Explain FlashAttention. How does it optimize memory bandwidth, and what are the trade-offs?
#CUDA
#Memory Bandwidth
#Hardware Optimization
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.