Explain Transformer Positional Encoding

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Quick Overview

This question evaluates understanding of positional encoding in Transformer architectures, including how positional information is integrated into token representations, the distinction between sinusoidal and learned positional embeddings, and the implications for large language models.

Explain Transformer Positional Encoding

Company: Cadence

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates understanding of positional encoding in Transformer architectures, including how positional information is integrated into token representations, the distinction between sinusoidal and learned positional embeddings, and the implications for large language models.

Read the full Cadence Machine Learning Engineer interview experience this question came from

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Cadence
Jan 5, 2026
mediumMachine Learning EngineerTechnical ScreenMachine Learning
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