Anthropic Interview Questions
Practice 124 real interview questions from Anthropic. Covers Coding & Algorithms, System Design, Behavioral & Leadership, ML System Design. For roles including Software Engineer, Machine Learning Engineer, Backend Engineer.
"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."
Design a Double Descent Experiment
You are given a take-home assignment for a mechanistic interpretability or machine learning interview. Design an experiment that demonstrates sample-t...
Design a Parallel Image Processor
You are asked to design an image-processing component. An image is represented as a 2D array of pixels, and the processor must apply one or more filte...
Design a one-to-one chat system
Design a one-to-one chat system for a web application. Assumptions: - Each user is active on at most one browser device at a time. - Group chat is out...
Design GPU inference request batching
Design a system that serves online model-inference requests on GPUs. Requests arrive one at a time from clients, but GPU throughput is much better whe...
Convert Samples into Event Intervals
You are given a time-ordered array samples, where samples[i] is the function name observed at integer timestamp i. Convert this trace into a list of e...
How to stream a large file to 1000 hosts fastest
Problem You need to distribute a very large file stored in cloud object storage to 1000 servers in a data center. - The WAN link from cloud storage → ...
Debug a GRPO training loop and explain ratios
You are given a simplified implementation of a GRPO (Group Relative Policy Optimization) training step for an RLHF-style policy model. The training is...
How do you review a design document?
You have an interview on your agenda titled “Design Doc Review.” You are given a written design document for a new feature/service (or a major change ...
Explain Anthropic motivation and leadership stories
The non-technical rounds focused on culture fit and leadership depth. Prepare to answer questions such as: - Why do you want to work at Anthropic? - W...
Design a Crash-Resilient LRU Cache
You have an in-memory LRU cache with fixed capacity and standard get(key) / put(key, value) operations. Normally, an LRU cache is volatile, but now yo...
How do you lead under risk and uncertainty?
Answer the following engineering leadership questions (EM/Senior level). Use specific examples. 1. Tell me about a time you rejected a technically exc...
Describe your most impactful project
Tell me about the project where you had the most impact. Explain the business or user problem, why it mattered, what your specific role was, the harde...
How do you handle an LLM agents interview?
You have an interview on your agenda titled “Agents Interview.” Explain how you would approach this interview if it is about designing and evaluating ...
Explain batch inference design
You need to generate predictions for a very large offline dataset, such as all users or all products, once per day using an already trained machine le...
Design guardrails and fallback for LLM reliability
You operate a production application that uses an LLM to generate user-facing outputs (text actions, advice, summaries). The model is non-deterministi...
Implement a crash-resilient LRU cache
Implement an LRU-based memoization helper with behavior similar to a standard Python LRU cache. You are given an interface like this: `python class LR...
Design a high-concurrency LLM inference service
You are designing an LLM inference platform that serves interactive user requests (chat/completions) on GPUs. Goals - Support high concurrency with pr...
How do you design an A/B experiment?
You have an interview on your agenda titled “Experiment Design.” You are asked to design an online experiment (A/B test) for a product change. Describ...
Design a prompt playground
Design a prompt playground for working with large language models. Users should be able to write prompts, run them against one or more models, compare...
Design distributed median and mode
Distributed System Design: Global Median and Global Mode at Massive Scale Context You are designing a distributed analytics system that must compute t...