Anthropic Interview Process and Questions: How to Prepare (2026)

The short answer: Anthropic’s careers page says all interviews run over Google Meet. Technical roles use live coding tools such as Colab and CodeSignal, where you can look things up, and non-technical interviews are conversational. Its guidance for candidates says you can use AI to prepare and to polish an application you drafted yourself, but not in take-home assessments or live interviews unless it says so. interviewing.io, drawing on conversations with Anthropic engineers, reports a 30-minute recruiter call, a coding challenge and a final round of about five one-hour sessions, ending with a company values (culture) interview, over about three to four weeks. It says the values round is where most candidates fail. Prepare by reading Anthropic’s values and safety writing until you have your own view of it, including where you disagree.

We aren’t affiliated with Anthropic. Hiring facts below come from Anthropic’s own pages. Where we rely on other reports, we say so, and formats vary by team and role.

What Anthropic says about hiring

Who it looks for. Anthropic’s careers page says it cares about what you can do, not where you learned to do it. About half its technical staff had no prior machine learning experience, about half have PhDs, and some never went to college. If you’ve done independent research, written a thoughtful blog post or contributed to open source, it suggests putting that at the top of your resume.

Engineers and researchers. It says engineers do a lot of research and researchers do a lot of engineering. If you have an engineering background, it recommends applying as an engineer, because you’ll do better in the interviews.

Non-technical roles. It looks for clarity, judgment and a genuine interest in the mission, and describes its policy, operations and business teams as small and high-impact.

In technical interviews, be comfortable with basic syntax and standard libraries, so looking things up doesn’t eat your time. You’ll be asked about your experience and what motivates you, and you’ll have time to ask your own questions.

Watch for scams. Anthropic says its recruiters only email from @anthropic.com addresses and never ask for money, fees or banking information before your first day.

Can you use AI (or Claude) in an Anthropic interview?

Anthropic publishes guidance for candidates, last updated in July 2025, that sets rules for each stage:

• Applying: write your first draft yourself, then you can use Claude to refine it. Using AI to invent experience you haven’t had isn’t allowed.
• Take-home assessments: no AI unless Anthropic says it’s allowed for that assessment.
• Preparing for interviews: it encourages using AI to research Anthropic, practice your answers and prepare questions.
• Live interviews: no AI assistance unless Anthropic says otherwise.

The same page lists how Anthropic uses Claude in its own hiring, such as drafting job descriptions and interview questions and transcribing interviews. It says it doesn’t use your data to train Claude or let Claude make hiring decisions.

Formats are changing. interviewing.io reports that Anthropic is piloting an AI-assisted interview, to see whether candidates can build with AI while staying in control. In October 2026, The Register reported that Felix Rieseberg, an Anthropic engineering manager, had stopped using traditional coding interviews for his team and was still working out what should replace them. Ask your recruiter which rounds you’ll get and what’s allowed in each.

Anthropic’s mission and values

Anthropic is a public benefit corporation whose stated purpose is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. Its careers page lists seven values. Prepare a real story for each:

It also calls itself a high-trust, low-ego organization where people communicate kindly and directly, and says that if something urgently needs doing, the right person is probably you.

The Anthropic culture (company values) interview

interviewing.io describes a standalone, one-hour company values round with non-technical interviewers. Citing Anthropic recruiters, it says this is where most candidates fail. Here’s what it reports:

• It isn’t a standard behavioral interview. Candidates described it as personal and conversational. Expect reflective questions about real moments when your values were tested, when you pushed back or when you changed your mind, plus hypothetical ethical situations with no clean answer.
• Follow-ups ask how you felt, then and now, not only what happened.
• They want honesty, not cheerleading. interviewing.io says interviewers look for skepticism and pushback, and that thoughtful disagreement lands better than agreement.
• Rehearsed answers show. It advises knowing the material well enough to think out loud, rather than memorizing answers.

Know your stories well, but tell them as a conversation. A tidy recital in STAR order (situation, task, action, result) can sound rehearsed in this round.

Its reading list includes two essays by Dario Amodei, Anthropic’s CEO: Machines of Loving Grace (October 2024) and The Adolescence of Technology (January 2026). It also includes Anthropic’s Core Views on AI Safety (March 2023) and a long-form interview with Amodei. Read them to form your own view, not to quote them.

interviewing.io adds that the recruiter call and the values round often ask how Anthropic differs from OpenAI, and that you don’t need to criticize OpenAI to answer well. Our OpenAI interview guide covers that company’s process.

What’s reported about the engineering rounds

Anthropic doesn’t publish its round-by-round format. interviewing.io, drawing on conversations with Anthropic engineers in 2026, describes this process for mid- to senior-level software engineers:

• A recruiter call of about 30 minutes. It says this isn’t a formality: candidates fail it when they can’t say why Anthropic specifically, not just why AI. It also advises not sharing salary expectations at this stage.
• A coding challenge of 60 to 90 minutes, sometimes skipped for referred candidates. Most people it spoke to took a 90-minute CodeSignal assessment where one task grows more complex level by level, and many ran short of time. It notes this step is in flux.
• A final round of about five one-hour sessions: a hiring manager call (a deep walk-through of a past project, sometimes with code review), coding in CodeSignal, system design in a shared Google Doc, a second, role-specific coding round, and the company values interview.
• Team matching after the final round, and about three to four weeks overall.

It describes the coding as practical and built from first principles, mostly in Python, with concurrency and multithreading coming up across rounds. It says software engineers don’t need machine learning or research experience. For system design, it reports problems close to Anthropic’s own work, such as serving a large language model efficiently with batching and queuing, or designing a chat service.

It also reports that hiring decisions are made by consensus, with the hiring manager deciding when there’s none. It says references matter, with questions about how you handled conflict and ethical friction, so line up strong references early.

Treat these as reports, not rules.

Practice questions by round

We wrote these to match the formats above. They aren’t leaked questions.

Recruiter call

• “Why Anthropic, and not just AI?”
• “Which piece of Anthropic’s research or writing changed how you think? What would you push back on?”
• “What would you want to work on in your first six months?”

Coding

• “Build an in-memory key-value store. Then add expiry times. Then make it safe to use from several threads.”
• “Write a crawler that visits each linked page once, using several worker threads.”
• “Parse a log file into totals per user, then handle malformed lines.”

System design

• “Design an API that serves a large model to many customers, with batching, queuing and fair limits.”
• “Design a chat service that streams responses and keeps conversation history.”
• “How would you keep GPUs busy when traffic swings tenfold during the day?”

Hiring manager call

• “Walk me through your strongest project. What did you decide, and what did you reject?”
• “What would you do differently now?”
• “Here’s some code. What does it do, and what’s wrong with it?”

Company values (culture) interview

• “Tell me about a time your values were tested at work. How did you feel?”
• “When did you push back on something, and what did it cost you?”
• “What’s something you believed strongly and changed your mind about?”
• “You find a safety issue a week before a launch your team has worked on for a year. What do you do?”
• “Where do you think Anthropic is wrong?”

A practice coding problem: a concurrent crawler

Here’s one worked example in the style reported above: practical, in Python, with concurrency. fetch takes a URL and returns the links on that page, so you can test it without a network.

from concurrent.futures import (
    ThreadPoolExecutor,
)


def crawl(start, fetch, workers=4):
    seen = {start}
    frontier = [start]
    with ThreadPoolExecutor(
        max_workers=workers
    ) as pool:
        while frontier:
            pages = pool.map(
                fetch, frontier
            )
            nxt = []
            for links in pages:
                for url in links:
                    if url not in seen:
                        seen.add(url)
                        nxt.append(url)
            frontier = nxt
    return seen

We ran this on Python 3.12 with tests for cycles, a page with no links, parallel fetching and a failing fetch. Two design choices are worth saying out loud. The worker threads only fetch, and only the main thread updates seen, so it needs no lock. And the crawl goes level by level, so one slow page holds up the next level.

Expect follow-ups: limit the crawl to one domain or a page budget, retry or skip failed pages (here, one error stops the crawl), respect rate limits, and use a queue so slow pages don’t block the rest. Our Python interview questions cover the language.

How to answer “Why Anthropic?”

What they’re listening for: a reason that’s specific to Anthropic, and signs you’ve thought about it critically.

Example: “I’ve spent four years on payment reliability, where a quiet failure costs more than a loud one, so I design for things going wrong. Core Views on AI Safety starts from not being confident that AI will go well, and that’s how I already work. Where I’m less sure is whether a lab can stay at the frontier without feeding the race it worries about. I’d rather work on that question from the inside, with people who argue about it openly.”

Avoid: “I love Claude”, wanting to work on frontier AI with nothing specific to Anthropic, or agreeing with everything. More on why you want to work here.

How to prepare, step by step

1. Read Anthropic’s careers page and its AI guidance for candidates, and follow the AI rules exactly.
2. Read the safety writing listed above, and write down where you agree and where you don’t.
3. Prepare a story for each value, including what you did and how it felt.
4. Practice Python under time pressure, including threads and a spec that grows level by level.
5. Practice system design out loud. Our system design guide has a framework.
6. Pick one project to go deep on for the hiring manager call: the decisions, the trade-offs and what you’d change.
7. Line up references who can speak to how you handle conflict.
8. Ask your recruiter which rounds you’ll get, since formats are changing.

By role

• Software engineers: the rounds above. interviewing.io says you don’t need machine learning experience, and Anthropic says about half its technical staff had none before joining.
• Research engineers and scientists: Anthropic says engineers do research and researchers do engineering, and suggests applying as an engineer if that’s your background. Our LLM engineer questions and AI engineer questions cover the technical ground.
• Policy, operations, product and business roles: Anthropic says these interviews are conversational, and that it looks for clarity, judgment and a genuine interest in the mission. Prepare your view of the mission as carefully as your experience.

Questions to ask your interviewers

• “How does this team decide when something is safe enough to ship?”
• “What’s a recent disagreement on the team, and how was it settled?”
• “How is the team changing the way it works as AI tools improve?”
• “What does a strong first six months look like here?”

Our full list of questions to ask the interviewer has more.

Practice your answers out loud

See how other employers hire in our company interview guides.

Frequently asked questions

Sources

• Anthropic, Careers, Guidance on candidates’ AI usage (last updated 10 July 2025), Company and Core views on AI safety (8 March 2023). Read on 11 November 2026.
• interviewing.io, Anthropic’s Interview Process & Questions, last updated 31 October 2026. Read on 11 November 2026.
• Thomas Claburn, Anthropic engineer declares the coding interview dead, The Register, 28 October 2026. Read on 11 November 2026.
• Dario Amodei, Machines of Loving Grace (October 2024) and The Adolescence of Technology (January 2026). Read on 11 November 2026.