1. Coding & Algorithms
Expect standard algorithm and data structure problems (like from LeetCode).
Emphasis on clean code, optimal solutions, and reasoning.
Examples:
Implement a cache with O(1) access.
Design a rate limiter.
Solve graph traversal or dynamic programming problems.
2. Systems Design / ML Systems
Design robust, scalable systems—often in AI/ML contexts.
Examples:
How would you design a distributed training system?
How do you deploy and monitor a large language model in production?
3. Machine Learning & Deep Learning (for relevant roles)
Deep understanding of models (transformers, diffusion models, etc.)
Expect questions about training dynamics, loss functions, and optimization.
Examples:
Why does layer normalization work better than batch norm in transformers?
How would you debug a model that's overfitting?
Preguntas de entrevista [1]
Pregunta 1
Design a user-facing product powered by GPT-4.
How would you prioritize safety and utility in a new feature?
Me postulé a través de una recomendación de un empleado. El proceso tomó 3 días. Acudí a una entrevista en OpenAI (San Francisco, CA) en mar 2026
Entrevista
This was the first coding round after the HR call. It began with a self-introduction, followed by the coding portion, where I worked through the problem and explained my thinking step by step.
It was a really fun interview process! I got four interviews, and there was a final round after that. The problems asked were interesting and challenging and I had a great time. I'm excited to apply again soon!
