Anthropic Interview Questions
Practice 182 real Anthropic interview questions for 2026. Covers all top categories — Coding & Algorithms, System Design, Behavioral & Leadership, ML System Design, Software Engineering Fundamentals — across Software Engineer, Machine Learning Engineer, and Backend Engineer roles. Real questions from actual interviews with detailed solutions. Use this guide for focused interview preparation that prioritizes coding and systems work first, then ML/analysis and behavioral alignment rounds. Expect a multi-stage loop: a 30–45 minute recruiter screen, one or two technical screens (live coding or take-home, 45–90 minutes), an in-depth system-design round, values/mission-alignment conversations, and a final team-match/hiring-committee step — most loops finish in about three to six weeks. Software Engineer questions skew toward distributed systems and storage (distributed rate limiter, LLM request batching, in-memory/time-based key-value designs), web crawl and indexing problems, and algorithmic puzzles (LRU, unique-character subsets, grid word search). Machine Learning Engineer rounds emphasize production inference, routing and scheduling, batch inference design, experiment design (double descent) and model distribution. Anthropic explicitly evaluates AI-collaboration judgment in some coding rounds and often allows AI assistants; difficulty is comparable to other top AI labs but with stronger emphasis on safety, judgment, and ML-systems thinking.

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Implement a same-host web crawler
Implement a web crawler. Given a start URL and a function get_links(url) -> list of URLs, return all URLs that share the same hostname as the start. A...
Detect duplicate files by content
Detect duplicate files by content in a filesystem. Given access to a directory tree, return groups of file paths that have identical byte content. Min...
Optimize a core kernel for throughput
This question evaluates low-level performance optimization competencies, including loop transformations, memory-access patterns, vectorization, parall...
Implement staircase printing and distributed mode/median
Problem A: Print a “staircase” pattern Implement a function that prints a staircase with n rows. Input - An integer n (n >= 1) Output - Print n lines....
Implement crawler and file deduplication
This question evaluates competencies in concurrent programming, web crawling and graph traversal, thread safety, rate limiting, I/O-efficient file ded...
Generate outputs for images and pipelines
You are given m input images and n processing pipelines. - Each pipeline is an ordered list of k operations (e.g., resize, rotate, crop, blur, color t...
Implement Python LRU cache with args and persistence
Implement an LRU cache in Python as a decorator or class that correctly supports variable-length positional arguments and keyword arguments. Ensure th...
Implement a web crawler using a provided API
This question evaluates understanding of web crawling mechanics, URL/hostname filtering, graph traversal concepts, and concurrent fetching, assessing ...
Build a least-recently-used cache
This question evaluates a candidate's competence in designing and implementing efficient in-memory cache mechanisms, focusing on data structures, evic...
Find duplicate files and apply image operations
Part A — Find duplicate files by content You are given a list of directory records. Each record is a string describing a directory path followed by on...
Implement file deduplication at scale
Write a program to deduplicate files in a very large directory tree. Identify groups of identical files without loading entire files into memory. Outl...
Design an IPv4 Address Iterator
This question evaluates a candidate's ability to represent and iterate IPv4 addresses, covering parsing, numeric arithmetic with carry between octets,...
Crawl Same-Domain Links
Implement a Python function that crawls a website starting from a seed URL and returns all unique pages reachable within the same domain. Assume a hel...
Implement a longest-match tokenizer
This question evaluates string-processing and algorithmic implementation skills for greedy longest-match tokenization, including handling runs of unma...
Design and implement a Python solution
Design and implement a solution in Python for a problem specified by the interviewer. Outline your approach and chosen data structures, justify key de...
Apply bitwise tricks for performance
For an integer-heavy inner loop, propose bit-level optimizations that reduce branches and memory traffic: e.g., population count usage, fast modulo by...
Compute matrix trace and support updates
Given an n x n integer matrix M, implement a function trace (M) that returns the sum of its main diagonal. Follow-ups: (a) If you receive q point upda...
Detect n-length consecutive sequences
Given an unsorted collection of integers and a parameter n > 0, determine whether there exists a set of n distinct integers that form a run of consecu...
Implement thread-safe blocking queue
Question Design and implement a thread-safe bounded blocking queue that supports concurrent enqueue and dequeue operations using standard synchronizat...
Implement a Longest-Match Tokenizer
Implement a Longest-Match Tokenizer The source reports longest matching, unknown-token handling, and an optional unknown-merging extension. The exact ...