Anthropic

AI safety and research company behind Claude, focusing on constitutional AI.

5 Rounds ~20 Days Very Hard

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The Interview Loop

Recruiter Screen (30 min)

Standard fit check, behavioral questions, and resume overview.

Technical Loop (3-4 Rounds)

Deep dive into domain knowledge, coding, and system design.

Interview Question Bank

All Roles Backend Engineer 9 Cloud Engineer 2 Data Engineer 19 Data Scientist 5 DevOps Engineer 3 Frontend Engineer 5 Full Stack Engineer 6 Machine Learning Engineer 8 Software Engineer 28

All Topics System Design 9 Frontend 6 Algorithms 6 Leadership 2 Backend 2 Culture Fit 2 Networking 2 Problem Solving 1

Full Stack Engineer • Coding • hard

Implement a Markdown parser function in TypeScript that can render code blocks with syntax highlighting while the text is still streaming in chunk by chunk.

#Parsing #TypeScript #Streaming #State Machines

Practice

Full Stack Engineer • Coding • medium

Given a massive log file of API requests, write a Python script to find the top 5 users who consumed the most tokens in any sliding 1-hour window.

#Python #Sliding Window #Data Processing

Practice

Full Stack Engineer • Coding • medium

Implement an LRU (Least Recently Used) cache with a Time-To-Live (TTL) feature to temporarily store frequent, identical prompt responses and reduce inference load.

#Data Structures #Caching #Hash Maps #Linked Lists

Practice

Full Stack Engineer • Coding • medium

Write a function to merge overlapping text highlights. Given an array of objects representing start and end indices of safety flags in a text, return a merged array of non-overlapping intervals.

#Intervals #Sorting #Arrays

Practice

Full Stack Engineer • Coding • hard

Write an algorithm to efficiently diff two versions of a large text document and highlight the insertions and deletions. This is used to show users how their prompt edits changed the context.

#Dynamic Programming #Strings #Diff Algorithms

Practice

Full Stack Engineer • Coding • hard

Implement a custom JSON parser that can gracefully handle and 'fix' truncated JSON strings. This is common when an LLM output stops mid-generation due to max token limits.

#Parsing #Strings #Error Handling #AST

Practice

Difficulty Radar

Based on recent AI-sourced data.

Meet Your Interviewers

The "Standard" Interviewer

Senior Engineer

Focuses on core competencies, system constraints, and clear communication.

Simulate

Unwritten Rules

Think Out Loud

Always explain your thought process before writing code or drawing architecture.

Practice Now

Anthropic

The Interview Loop

Recruiter Screen (30 min)

Technical Loop (3-4 Rounds)

Interview Question Bank

Implement a Markdown parser function in TypeScript that can render code blocks with syntax highlighting *while* the text is still streaming in chunk by chunk.

Given a massive log file of API requests, write a Python script to find the top 5 users who consumed the most tokens in any sliding 1-hour window.

Implement an LRU (Least Recently Used) cache with a Time-To-Live (TTL) feature to temporarily store frequent, identical prompt responses and reduce inference load.

Write a function to merge overlapping text highlights. Given an array of objects representing start and end indices of safety flags in a text, return a merged array of non-overlapping intervals.

Write an algorithm to efficiently diff two versions of a large text document and highlight the insertions and deletions. This is used to show users how their prompt edits changed the context.

Implement a custom JSON parser that can gracefully handle and 'fix' truncated JSON strings. This is common when an LLM output stops mid-generation due to max token limits.

Difficulty Radar

Meet Your Interviewers

The "Standard" Interviewer

Unwritten Rules

Implement a Markdown parser function in TypeScript that can render code blocks with syntax highlighting while the text is still streaming in chunk by chunk.