Anthropic Interview Experiences & Questions
18 real Anthropic interviews shared by candidates: every round, the questions they were asked, how they answered, and whether they got the offer. Latest: Aug 2026.
What to expect at Anthropic
Based on 18 real interviews
By role
The Anthropic interview process
Most common round types: Behavioral (9), Artificial Intelligence (8), Technical (8), System Design (7), Coding (6), Cross-Functional (5).
Real Anthropic interview questions
- Walk me through the companies and projects on your resume. Why this company, what was that project about, and what was unique about working there?
- What is your relationship to your references?
- Here is a design on the screen. Can you walk the end to end flow, critique it, and tell us what you would change?
- Using only Python, clean the extracted file and do further analysis without third-party NLP packages like spaCy or Hugging Face.
- How would you think about aligning an AI model with the intended objectives and preventing misaligned or harmful behavior?
- Tell me about a project where a stakeholder changed priority in the middle after work had already started. What did you do?
- Present a recent large project end to end.
- How would you set the talent bar, run design reviews, and divide work when two people both want the same feature so they can still grow?
- Here is a tooling scenario where the model has to make a plan and execute a tool. How would you solve it?
- Extract a clean dataset from this database using only SQL and Python.
- Present a project of your choice.
- Why did you move from IC work into management, and why do you want to keep doing management?
- Debug this code
- Tell me about an ethical or policy concern you raised under pressure.
- Here is a messy retail sales dataset. Transform it so it is clean and ready for downstream use.
- In a provided Google Colab notebook, fill in the missing code to implement part of an LLM inference or output-processing step.
- Tell me about a project where resourcing changed in the middle and timelines were affected.
- Walk me through a recent large-scale project you worked on.
- Tell me about managing poor performance and low performers.
- Given a simple PDF-based workflow with long context windows, how would you improve reliability and performance?
- What technologies and design patterns did you use, why was the project done, and what impact did it have?
- Advance our research experiment on subliminal learning
- If a customer in a regulated industry wanted to use Claude APIs, how would you design the implementation?
- Here is a prewritten Python data pipeline for model training that is not running correctly. Find and fix the bugs.
- Imagine you're on a team deploying a conversational AI model across sensitive topics, and internal testing shows it gives overly confident but factually wrong answers in high-risk contexts. How would you investigate…
- Tell me about a bug or mistake you shipped, what the impact was, what you learned, and how you would handle that situation here.
- Leetcode style python coding
- Tell me about a past project and the hardest part of tuning or fine-tuning the model.
- Implement an in-memory database in CodeSignal, with each round adding more functionality.
- What would you do if there was a feature that was profitable for the company but clearly cost customers more money?
- Paper-related reasearch problems
- Design an inference batching system with constrained compute and lots of incoming requests.
- Implement a streaming database with the given constraints and requirements.
- Why do you want to work at Anthropic?
- Tell me about yourself.
- You have one huge file coming in over a constrained link. How do you distribute it to thousands of machines?
- Implement an image-processing pipeline over the provided files in the project.
- Why Anthropic?
- What projects did you work on?
- Design a batch inferencing API over GPU clusters.
Showing 40 of 97 questions. Open any experience for every question and how the candidate answered.
All 18 Anthropic interview experiences
“The system design interview was a bit different than the typical ones, it asked me to review an existing design doc and give feedback. Initially I was a bit uncertain, but was able to navigate the…”
“The process was well-structured and moved at a good pace, with clear communication about next steps at each stage. What went well: the conversations felt genuinely two-way — I was able to ask real…”
“Very focused on the culture screening and "Why Anthropic," they pushed on this quite a bit. They really want to see that you have pre-sales experience as well, think I had more post sales experience…”
“The process is kind of cold. All tasks are performed on codesignal. You are basically do the assignment by yourself with the computer and camera on.”
“About Why Anthropic. They seem to really care. The recruiter seemed like they were really busy to even talk to me. They got interested after we started speaking. One question on how I handled low…”
“I prepped for a normal EM system design, and then they put half an Anthropic inference design on the screen and asked me to tear it apart. That was when I realized they cared way more about design…”
“The interview process went well. The recruiter was very responsive and supportive throughout the process. Had a recruiter screening call and an HM call. I am pretty sure that the HM did not like my…”
“Some of the interviews are very formulaic. When they ask about management experience they first start by asking what is the largest org you've managed, and then all following questions are about…”
“While the process is relatively demanding, it can be completed rapidly, with a significant emphasis placed on cultural alignment and core values.”
“The weirdest Anthropic round was the company values interview. It was almost like a therapy session, and honestly if you went to a therapist at some point, you will pass that round much more easily.”
“The process was structured, thoughtful, and generally well run. The interviews felt focused on practical judgment, problem-solving, communication, and how I approach ambiguous technical and product…”
“The culture fit round was so deep it was almost like therapy for me. I talked about pushing back on executive pressure to launch on a timeline and raising it up to chief counsel to make sure the…”
“They gave me a simulation where I had to imagine deploying a conversational AI model that reasoned across sensitive topics, and during internal testing it started giving overly confident but…”
“The weirdest part was the final round: they dropped me into a Google Colab notebook with maybe 20 to 30 lines of skeleton Python and asked me to debug an actual LLM inference step, but you were…”
“I went in expecting a multithreaded DSA question, and instead they dropped me into a full project with image files where I had to Google a library on the spot. End of the day, I did not even have…”
“The main thing is that Anthropic had a very small question bank. When I was interviewing, I already knew the system design question, and the coding questions were like five of them, which was kind…”
“Overall the interview process was quite quick but also didn't feel very robust as I was expecting for this type of company! I think I failed one of the later technical rounds in the onsite.”
“Anthropic was very different from the 20 companies I interviewed with. The culture round felt like a lawyer call, very interrogative, with conscience based questions like when have you done…”
Frequently asked questions
How many rounds are in the Anthropic interview?
Candidates report a typical 3.5 rounds, usually including a recruiter screen, online assessment, phone screen, take-home assignment.
How hard is the Anthropic interview?
Candidates rate it 3.8/5 on average (difficult), across 18 interviews.
How long does the Anthropic hiring process take?
About 3 weeks from first contact to decision, based on reported timelines.
What percentage of Anthropic candidates get an offer?
0% of candidates with a final result got an offer (0 of 12).
What does the Anthropic interview focus on?
The most common round types are Behavioral, Artificial Intelligence, Technical, System Design.