Anthropic Interview Process & Questions
Updated Oct 25, 2026
Anthropic doesn't publish a fixed interview loop, and the rounds change by role. What it does publish: every interview runs on Google Meet, technical roles code live in Colab or CodeSignal and can look things up, non-technical interviews are conversational, and live interviews allow no AI help unless you're told otherwise. Candidate reports fill in the rest: an online coding assessment for many technical roles, a recruiter or hiring-manager call, a virtual onsite of several interviews that includes a culture conversation about the mission and AI safety, then reference checks. For some engineering roles, team placement happens after the interviews. The stages below mark which parts come from Anthropic and which from candidates, so ask your recruiter which rounds your loop includes.
The Anthropic Interview Process
- 1
Application and recruiter call
Anthropic asks you to write the first draft of your application yourself, then use Claude to refine it if you like. Interviews cover your experience and what motivates you, and Anthropic says it wants them to be a two-way conversation, so bring your own questions about the team.
- 2
Online coding assessment (many technical roles)
Candidates describe an automated CodeSignal task that grows in levels, such as building a small banking system and extending it with new requirements. Reports from 2024 and 2025 put it around 90 minutes; one 2025 retake took about 35. One research engineer candidate reports skipping it and going straight to an ML interview.
- 3
Live technical interviews
Live coding in Colab or CodeSignal. You can look things up, but Anthropic says to be comfortable with basic syntax and standard libraries so lookups don't eat your time. Some postings say all interviews for that role are in Python. The Fellows program adds a research discussion.
- 4
Take-home (some roles)
Not every loop has one. Anthropic's performance-engineering take-home is now 2 hours, and it is one of the cases where using Claude is explicitly allowed. Otherwise, complete take-homes without AI unless the instructions say you may use it.
- 5
Culture interview (candidate-reported)
A conversation about why you want to work on safe AI, how you reason through hard trade-offs, and how you work with others. One candidate says their recruiter warned that people often fail this heavily safety-focused final round. Anthropic's published values are the best prep: put the mission first, do the simple thing that works, and be high-trust and low-ego.
- 6
References and team placement
Anthropic's Fellows postings list a reference check, and candidates in other roles report being asked for two references near the end. Some engineering postings say team placement happens after the interview process, based on your interests and the organization's needs.
Anthropic Interview Guides by Role
Role-specific questions and prep tips for Anthropic interviews.
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Applied AI Architect
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Data Scientist
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Engineering Manager
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Forward Deployed Engineer
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Fullstack Engineer
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Infrastructure Engineer
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Machine Learning Systems Engineer
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Product Manager
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Research Engineer
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Research Scientist
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Software Engineer
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Technical Program Manager
Anthropic Interview — Frequently Asked Questions
Anthropic doesn't publish a round count. Software engineering candidates commonly describe a CodeSignal assessment, a recruiter call, a phone screen, a virtual onsite, and reference checks. One leadership-track candidate described two hiring-manager calls and six one-on-one interviews. Ask your recruiter for your exact loop.
It varies widely and Anthropic doesn't publish a timeline. Candidate reports range from under eight working days end to end to more than three months with weeks between stages. Anthropic has said scheduling overhead on its old 4-hour take-home caused multi-week delays, which is why it cut it to 2 hours.
Only where Anthropic says so. Use it to research Anthropic and practice your answers, and to polish an application you drafted yourself. Take-homes are without AI unless the instructions allow it, and live interviews are "all you" with no AI help unless you're told otherwise.
Not necessarily. Anthropic says about half its technical staff had no prior ML experience and about half have PhDs. If you have an engineering background, it recommends applying as an engineer, because you'll perform better in those interviews.
Candidates describe a final-stage conversation about the mission, AI safety, and how you work. Prepare a specific answer to why Anthropic rather than AI in general, and examples of a hard trade-off you made, a time you changed your mind, and how you raise disagreement directly but kindly.
Anthropic's postings say it currently expects all staff in one of its offices at least 25% of the time, and some roles need more. It sponsors visas, but says it can't succeed for every role and candidate; if it makes you an offer, it will make every reasonable effort to get you one.
Anthropic says it can't give feedback on resumes or interviews. You can re-apply after 12 months, or sooner if your experience or skills change materially. Once you have an offer, it says to take your time and finish any other interview processes.
Sources
- Anthropic Careers: the interview process and FAQs
- Anthropic: Guidance on candidates' AI usage (updated Jul 2025)
- Anthropic Engineering: designing AI-resistant technical evaluations (Jan 2026)
- Anthropic Careers: Staff+ Software Engineer, Infrastructure (team placement, office, visas)
- Anthropic Careers: Anthropic Fellows (reference check, research discussion)
- Blind: Anthropic interview megathread (candidate replies on rounds and timelines)
- Blind: research engineer CodeSignal assessment (Feb 2024)
- Blind: research engineer interview and safety-focused final round (Jul 2024)
- Andrey Goncharov: Anthropic Fellowship interview write-up (Feb 2025, updated Sep 2025)
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