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Enterprise & Product

Grammarly Interview Guide

~25% easy, 60% medium, 15% hard · 8 problem suggestions · Strings, Trees, Dynamic Programming

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Overview

Grammarly interviews reflect their NLP roots. Trie problems, string manipulation, and word-break variants appear more frequently here than at other companies — directly relevant to the text processing that powers their writing assistant. For ML roles, expect NLP-specific questions about language models, text classification, and correction algorithms. For SWE roles, the process is standard with a string/text-processing flavor.

Interview Process

Timeline: 3-5KotlinTypeScriptPythonReact
RoundTypeDurationDescription
Phone ScreenCoding45 minOne medium problem, often string-related
Onsite Coding (x2)Coding45 minString/trie problems + standard algorithms
System DesignSystem Design60 minText processing and NLP pipelines
CultureBehavioral45 minMission and values fit

Phone screen, then 3-4 onsite rounds: coding, system design, and culture fit. Timeline is 3-5 weeks.

Difficulty Breakdown

25% easy
60% medium
15% hard

60% medium, 25% easy, 15% hard. Moderate with a strong text-processing/NLP domain emphasis.

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About Leo Kwan

This AI-assisted guide draws on public sources. Interview processes can change. Last updated 2026-04-03.

Sources

Interview data aggregated from public sources including , as well as public company career pages, engineering blogs, and community interview reports.