How the Anthropic interview process works

In this article

1. Before you start
2. Why interviewers ask this
3. The Anthropic interview process from first principles
4. Worked example
5. Trade-offs and edge cases
6. How to answer it in an interview
7. Common mistakes
8. Follow-up questions
9. Sources

Before you start

Why interviewers ask this

Anthropic's public pages show that its interviews ask about your experience and motivation, test technical roles with live coding, and set rules for AI use. A candidate who prepares only for the technical material may miss that the rules are stated per stage. Anthropic's guidance asks applicants to write first drafts of application materials themselves and says live interviews and take-home assessments are done with no AI assistance unless the company indicates otherwise (Anthropic, last updated July 2025).

Interviewers ask about motivation because the careers page says non-technical interviews are conversational and focus on how you approach problems and what draws you to the work (Anthropic, read October 2026). A weak answer lists admirable things about the company. A strong answer connects a problem you have worked on to a problem the company works on, in specific terms.

The Anthropic interview process from first principles

Live coding exercise

A live coding exercise is a timed programming task that a candidate solves while an interviewer watches and talks with them, usually in a shared notebook or coding platform, and that tests how the candidate reasons as well as whether the code runs.

Cycle count

A cycle count is the number of clock steps a simulated processor needs to run a program; in the original and released versions of Anthropic's performance take-home it is the score, and a lower count means a faster program.

AI-resistant evaluation

An AI-resistant evaluation is a work sample designed so that current AI models cannot complete it as well as a strong human within the time limit, and it has to be redesigned as models improve.

Simulator

A simulator is a program that imitates the behavior of a machine, so that code written for the machine can be run, measured and debugged without owning the machine.

In plain words

The Anthropic interview process is a series of gates. Each gate checks one thing with its own rules. Think of a driving test: a written part, a road part and a decision. The analogy breaks in one place, because a driving test publishes a fixed number of parts. Anthropic's public pages describe the format of the conversations and the technical exercise. They do not list a numbered sequence of stages (Anthropic, read October 2026).

In one precise sentence: the process is a sequence of Google Meet interviews, with live coding for technical roles, under written rules about AI use. It ends in a decision, and in an offer that candidates may take time to consider.

Why the original take-home allowed AI when live rounds do not

The original performance take-home allowed AI because Anthropic designed it for a world where candidates have AI available. Tristan Hume wrote in January 2026 that the original take-home had been used since early 2024, that Claude Opus 4 beat most applicants under the original time limit and that Claude Opus 4.5 matched even the top candidates, so the team redesigned it (Anthropic, January 2026). Under the post's design goals, for that original take-home "we explicitly indicate otherwise" than the general no-AI default. The post describes the current version, version 3, as the "(now) Claude-resistant" one: puzzles using a tiny, heavily constrained instruction set, scored on minimal instruction count. It does not state the AI rule for version 3.

The consequence for you is that the rule travels with the exercise, not with the company. In a live round, work alone unless told otherwise. For a take-home, follow the instructions for the version you receive; Anthropic's guidance says "We'll be clear when AI is allowed" (Anthropic, July 2025). Where the instructions are silent, the default is no AI.

Step 1: Write the first application draft yourself

The application is the first gate, and it has a rule: write your own first draft. Anthropic's guidance says "Please create your first draft yourself, then use Claude to refine it" (Anthropic, July 2025). The input is your experience and your reasons; the output is a resume and application that reflect your own thinking, refined afterwards.

What changes at this step is who wrote the first words. Draft the answer to "why this role" from your own notes before you open any assistant, then refine. The practical output is an application whose specifics are yours, which also gives you the material for the motivation questions later. You now know the rule for the first gate; the next gate is a conversation.

Step 2: Prepare for conversations over Google Meet

The conversations run over Google Meet and can be scheduled across time zones. The careers page says all interviews are held over Google Meet and that Anthropic can accommodate different time zones (Anthropic, read October 2026). The input is you and an interviewer; the output is a view of your experience, your motivation and how you approach problems.

For technical roles, interviewers ask about your experience and motivation as well as running exercises; for non-technical roles the interview is conversational. Prepare your opener with tell me about yourself and your stories with behavioral interviews. Have a few questions of your own ready, since the page says candidates can ask questions; questions to ask the interviewer shows how.

Step 3: Do the technical exercise

For technical roles the exercise is live coding, in tools such as Colab and CodeSignal. The page says looking things up is allowed and that candidates should be comfortable with basic syntax and standard libraries (Anthropic, read October 2026). The input is a problem and a coding environment; the output is working code and a clear account of your reasoning.

Practise in a plain notebook, with documentation open but no finished solutions. Use coding interviews for algorithms, system design for architecture and machine learning (ML) coding for implementations. For performance engineering roles, the engineering post describes a different exercise, a take-home. The original version asked candidates to optimise code for a simulated accelerator using a Python simulator, with the cycle count as the score; the released version is an open challenge on the same kind of task. The current version, version 3, uses puzzles on a tiny, heavily constrained instruction set, scored on minimal instruction count. Follow the instructions for the version you receive. The next step is the decision.

Step 4: Decide on the offer and know the reapply rule

After the interviews comes the decision, and the page makes two statements about it. Candidates can take their time deciding on an offer and can finish other interview processes first. Anthropic does not provide feedback on resumes or interviews, and candidates who are not selected can reapply after 12 months, or sooner if their experience or skills change materially (Anthropic, read October 2026).

The input is the interviewers' assessments; the output is an offer or a decision to stop. Because feedback is not provided, keep your own notes after each session: what you would redo, and what you learned. If an offer arrives, prepare using salary negotiation.

1 · Application2 · Conversations3 · Technical exercise4 · DecisionReplay

Step-by-step description

1. Write the first draft yourself, then refine it.
2. All interviews run over Google Meet.
3. Live coding in Colab or CodeSignal; lookups are allowed.
4. Take your time on an offer; if not selected, reapply after 12 months.

• Anthropic asks applicants to write the first draft of application materials themselves and then refine it with Claude.
• All interviews are held over Google Meet; technical roles add live coding in tools such as Colab and CodeSignal.
• Candidates who are not selected can reapply after 12 months, or sooner if their experience or skills change materially.

Worked example

The public pages give facts, and the facts fit in one table. The table below collects every number Anthropic states publicly about the process and its take-home, each with its source.

The number of stages matters for a different reason: each stage is a chance to be filtered out. If you clear each stage with chance $p$ and the stages are independent, the chance of clearing all $n$ is $p^n$. These values are illustrative, not measured pass rates; stage outcomes for one candidate are likely positively correlated, so $p^n$ is closer to a floor than an estimate.¹ At $p=0.7$ the chance is 0.343 for three stages, 0.1681 for five and 0.1176 for six. With each stage cleared at chance 0.9, the chances for 3, 5 and 6 stages are 0.729, 0.5905 and 0.5314.

Text description of the diagram

• With each stage cleared at chance 0.7, clearing all of 3, 5 and 6 stages has chance 0.343, 0.1681 and 0.1176.
• With each stage cleared at chance 0.9, the chances are 0.729, 0.5905 and 0.5314.

Trade-offs and edge cases

The main edge case is that AI rules differ by stage, and the same company can allow AI in one exercise and bar it in another. Anthropic's guidance bars AI in live interviews and, by default, in take-homes unless the instructions say otherwise, and the original performance take-home was an explicit exception (Anthropic, July 2025; Anthropic, January 2026). When instructions are silent, ask the recruiter in writing.

A second edge case is that the process differs by role. The careers page separates technical roles, with live coding, from non-technical roles, which are conversational. A third is that third-party guides report specific round counts and names. Those reports are not Anthropic's statements, so treat them as reported practice, and ask your recruiter for your actual plan. A fourth is that the take-home itself changes: the post describes at least three versions, so a description from a year ago may be out of date.

Text description of the diagram

• Live interviews and, by default, take-home assessments are done without AI unless Anthropic indicates otherwise.
• Anthropic's guidance says it will be clear when AI is allowed.

How to answer it in an interview

The careers page says interviewers ask about your experience and motivation. The strongest preparation is an answer to "what draws you to this work" that ties a problem you have worked on to the work in front of you. The answer below is an illustrative example, not a script to repeat.

Say it in this order: the problem you care about, one concrete thing you did about it, the link to their work, and a question. The answer runs about 45 seconds. Replace every detail with your own; an invented story is worse than a short true one.

Common mistakes

1. Assuming the AI rule never changes. (wrong) "Live interviews bar AI, so every exercise does." (right) "Live interviews bar AI unless told otherwise, and the original performance take-home explicitly permitted it, so I will read each set of instructions."
2. Quoting a round count as fact. (wrong) "Anthropic has exactly five rounds." (right) "Third-party guides report different counts; Anthropic's pages describe the format but not a fixed number."
3. Giving a motivation answer that is only praise. (wrong) "I admire your mission and your models." (right) "I worked on evaluating a model feature and want to do that for systems at this scale."
4. Preparing only the technical exercise. (wrong) "I will practise coding all week." (right) "I will also prepare my opener, my stories and my questions, because conversations are part of every role."
5. Letting an assistant write the first draft of application materials. (wrong) "I will generate the draft and edit it." (right) "I will write the first draft from my own notes and refine it afterwards."

Follow-up questions

How difficult is an Anthropic interview?

Anthropic publishes no difficulty rating or pass rate, so any figure you see elsewhere is an estimate; plan from the format on its careers page and the practice of the skill each round tests.

How many rounds of interviews does Anthropic have?

Anthropic's public pages describe the format but not a numbered list of stages, so ask your recruiter for your plan; the interview process hub explains how loops are usually built.

How do I prepare for an Anthropic interview?

Prepare each stage the careers page describes: your opener and stories for the Google Meet conversations, plain-notebook practice for live coding, and your own motivation answer. Read the AI rules of every exercise before you start (Anthropic, July 2025).

How do I get a job at Anthropic?

Apply through the roles listed on the careers page, write your own first draft of application materials, and prepare for the conversations and the technical exercise described above.

What if the instructions do not mention AI?

Silence means no AI: Anthropic says it will be clear when AI is allowed, and its default is no AI assistance unless the company indicates otherwise (Anthropic, July 2025). If in doubt, ask the recruiter in writing before the exercise.

Sources

1. Anthropic careers: interview format and process notes — Anthropic, 24 Oct 2026
2. Anthropic guidance on AI use in applications and interviews (last updated July 2025) — Anthropic, 10 Jul 2025
3. Designing AI-resistant technical evaluations — Anthropic (Tristan Hume), 21 Jan 2026