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This is a hard difficulty Machine Learning question, commonly asked during Onsite rounds at OpenAI.

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This question is commonly asked for Machine Learning Engineer candidates at OpenAI during technical interviews.

Implement Backprop for a Tiny Network

Last updated: Jun 21, 2026

Quick Overview

This question evaluates understanding of backpropagation, gradient derivation, numerical stability of softmax cross-entropy, and practical implementation skills in both NumPy and PyTorch autograd for a two-layer MLP, including correct batched tensor shapes.

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Implement Backprop for a Tiny Network

OpenAI

Apr 3, 2026, 12:00 AM

hardMachine Learning EngineerOnsiteMachine Learning

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