Anthropic Interview Process: Rounds, Questions, and How to Prepare

Anthropic runs one of the longer software engineering loops in the industry. Candidates report seven to nine rounds across two separate onsite days. Before any of that, a written application question carries real weight.

The loop is unusual in three ways. Coding rounds are practical build-and-extend problems rather than algorithm puzzles, and system design leans toward the infrastructure that serves large language models. The round that fails the most candidates is not technical at all, it is the culture and values conversation.

This guide walks through each stage, what it tests, and how to prepare. It also covers the two questions candidates ask most: how to answer "Why Anthropic?", and whether you are allowed to use Claude during the process.

The Anthropic Interview Loop in One Table

Reported timelines range from three weeks to a few months. The second onsite loop only happens if the first one goes well.

Interviews run over Google Meet. Anthropic states that it does not give feedback on applications or interviews.

The Written Application and "Why Anthropic?"

Anthropic's job applications include a written question asking why you want to work there. The form notes that the company values this response highly and that strong answers are often 200 to 400 words. It is a required field on most postings.

This is the part of the application you control most. It is the only place before the loop where you choose everything. A paragraph about being passionate about AI reads like every other application. A specific answer does not.

Three things make an answer specific:

• Name something concrete you engaged with, such as Claude, the constitutional AI approach, the interpretability research, or the Responsible Scaling Policy. One genuine specific is worth more than five compliments.
• Connect it to your own work, honestly, and say what makes this the right place for you.
• Say what you would contribute, naming the skill rather than the enthusiasm.

A recruiter will often ask the same question again live, so write an answer you can also say out loud. The short field is covered in how to answer "Why Anthropic?". The longer essay, with sample answers, is in why do you want to work at Anthropic.

Can You Use Claude During the Process?

Yes, in some stages. Anthropic reversed an earlier policy here, so advice written before the change is wrong, and a lot of it is still circulating.

Anthropic previously asked applicants to write their materials without AI assistance. It now publishes guidance inviting candidates to use Claude, and the rule differs by stage:

The reasoning Anthropic gives is that its own staff use Claude daily, so working well with an AI assistant is part of the job. The limit is authenticity: refine how you describe your experience, do not invent experience.

Stage 1: The Recruiter Screen

About 30 minutes, sometimes split across two shorter calls. The recruiter covers your background, the kind of role you want, and your interest in Anthropic specifically.

Expect the motivation question here, in a shorter spoken form than the written one. Expect also to be asked what you know about Anthropic's approach to AI safety. General enthusiasm about working on large models is the weakest possible answer at this stage.

Ask which rounds your loop will include. The shape varies by role and team, and knowing the mix changes how you prepare.

Stage 2: The Technical Screen

Sixty to ninety minutes of live coding in a shared Python environment. Candidates report tools including CodeSignal, Colab, and Replit.

The format is what matters. Problems are multi-tiered: you build something that works, then the interviewer adds a constraint and you extend it. Some versions gate the levels, so you must pass the tests on one part before the next unlocks.

Reported problems are practical rather than algorithmic:

• Build the core business logic for a banking application with several transaction types
• Write a function that turns stack trace samples into a call trace
• Find and remove duplicate files
• Design the core logic behind an API

Anthropic's careers page says candidates may reference materials during technical assessments. It also says you should know basic syntax and standard libraries well enough not to waste time looking them up. Read that as permission to check a method signature, not as time to learn the language.

What is scored is code that stays clean while requirements change. Write the simple version first, make it work, and keep it structured so that the next requirement is an addition rather than a rewrite.

Stage 3: The Hiring Manager Conversation

Forty-five to sixty minutes on engineering judgment. The manager probes how you made decisions on past projects, how deep your involvement actually went, and whether you understand the team's problem space. Some versions include reviewing a piece of code and discussing what you would change.

It is also the first real read on values alignment, so treat it as half technical and half cultural.

Stage 4: The First Onsite Loop

Two or three sixty-minute interviews on one day. The usual components are system design, another coding round, and the culture and values conversation.

System design leans toward the infrastructure that serves large models. Reported questions include designing a file cache, batching queries to use GPUs efficiently, and handling very high request volumes. Another is designing an agent system that adapts to new tasks. The graded skills are resource optimization, clear trade-off reasoning, and awareness of safety and security implications. This is closer to AI infrastructure than to classic product system design, which is what Grokking the AI System Design Interview covers directly.

Coding repeats the escalating pattern from the screen, with more room for the interviewer to push on edge cases, concurrency, and scale.

Culture and values is covered in its own section below, because it is where most candidates are rejected.

Stage 5: The Second Onsite Loop

This day only happens if the first loop goes well. It contains two rounds, and neither is a coding exercise.

Experiences and goals is run by someone at manager level or above. It covers collaboration, disagreement, difficult feedback, and what you want next. Candor and self-awareness are the traits being measured. An answer that makes you sound flawless reads worse than one that names a real mistake and what changed after it.

Technical project review asks you to present a project you owned end to end, often in a shared document rather than slides. Interviewers push on the decisions: what you chose, what you rejected, what broke, and what the numbers were. Pick a project where you actually made the calls, because interviewers keep probing until they find the edge of your real involvement.

The Culture and Values Round

Candidates report this as the most common reason for rejection, which makes it the highest-return round to prepare.

It is a conversation about AI safety, risk, and responsible deployment. Reported questions include:

• What are the ethical risks of deploying agentic AI systems?
• How would you keep user data safe inside an AI product?
• Do you have any critique of Anthropic's direction?

The last one is not a trap, and agreeing with everything is the weak answer. Anthropic states that it values honest, thoughtful communication. A specific, well-reasoned disagreement, offered without hostility, is stronger evidence of the trait than praise.

Prepare by reading the company's published material rather than by memorizing talking points. Have a view, be able to defend it, and be willing to update it when the interviewer pushes back. Updating your position under a good argument is the behavior being tested.

What Anthropic Says It Looks For

A few things from Anthropic's own careers page are worth planning around:

• Credentials matter less than demonstrated ability, since the company says it cares about what you can do, not where you learned it.
• You do not need an ML background, and Anthropic says about half its technical staff had none when they joined.
• Public work counts, so link your independent research, blog posts, and open-source contributions.
• There are no internships at present. Anthropic does hire new graduates, though the bar favors research or serious project experience. See does Anthropic hire new grads.

Most staff work in the Bay Area with regular office presence, and some work remotely with monthly visits. Offices include San Francisco, New York, Seattle, and London.

How to Prepare

Practice build-and-extend coding, not puzzles. Take a small problem, solve it, then add a requirement and extend your own code without rewriting it. That is the exact shape of the technical rounds.

Learn the serving layer. Batching, caching, GPU utilization, streaming output, and cost per request come up repeatedly in the design round. You do not need research depth, you need to reason about the trade-offs.

Write the "Why Anthropic?" answer early. Draft it yourself, refine it, and then practice saying it in ninety seconds.

Prepare one project in design-review depth. Decisions, alternatives, numbers, and failures.

Form a real opinion on AI safety. Read the company's published positions and decide what you actually think, including where you disagree.

Frequently asked questions

How long is the Anthropic interview process? Reported timelines run from about three weeks to a few months. The loop has seven to nine rounds, including two separate onsite days. The second onsite is only scheduled if the first one goes well.

Does Anthropic ask LeetCode-style algorithm questions? Not typically. Reported problems are practical implementation tasks that start simple and escalate as the interviewer adds constraints. Data structure fluency still helps, but pattern recognition on puzzle problems is not what gets scored.

Can I use Claude during the Anthropic interview process? Yes for the written application, where Anthropic asks you to draft it yourself and then refine with Claude, and yes for interview preparation. No for take-home assessments and live interviews, unless the instructions say otherwise.

What is the hardest round at Anthropic? Candidates most often report failing the culture and values round, not a technical one. It tests whether you can reason honestly about AI risk and hold a defensible position under pushback.

Do I need machine learning experience to get hired at Anthropic? No. Anthropic states that about half of its technical staff had no prior ML experience. Strong engineering ability and genuine interest in the mission carry more weight than an ML background.

Does Anthropic give interview feedback? No. The company states it does not provide feedback on applications or interviews. It does send rejection emails, as covered in does Anthropic send rejection emails.

To prepare for the coding rounds specifically, Grokking the Coding Interview teaches the patterns behind practical implementation problems.

Related reading

• How to Answer the "Why Anthropic?" Question
• Why Do You Want to Work at Anthropic? (200 to 400 Word Answers)
• What Is the Anthropic Salary Range?
• AI Company Interview Process: How ElevenLabs, Decagon, and Others Hire
• OpenAI System Design Interview Questions
• AI System Design Interview: The Complete Guide