How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Technical Screen rounds at OpenAI.

What role is this question designed for?

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

Debug a Broken Transformer

Last updated: Jul 12, 2026

Quick Overview

This question evaluates proficiency in debugging and reconfiguring Transformer-based deep learning models, covering competencies in model internals (attention mechanisms, positional encodings), data and label pipeline alignment, tensor shaping, gradient flow, and optimizer interactions within the Machine Learning domain (sequence models / transformers). It is commonly asked because it reveals practical troubleshooting ability and architectural understanding, testing primarily practical application with necessary conceptual reasoning about attention-specific failure modes and training versus evaluation behavior.

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Debug a Broken Transformer

OpenAI

Mar 3, 2026, 12:00 AM

mediumMachine Learning EngineerTechnical ScreenMachine Learning

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