Sources checked
Anthropic
A loop that weighs how you reason and communicate as heavily as whether the code runs, with a strong pull toward mission and the careful, safe deployment of AI.
The Anthropic process
3 of 4 stages you can practise here
- 01
Conversational, low-pressure, two-way
mission alignmentcommunicationmotivation - 02
Live coding over Google Meet on Colab or CodeSignal, with reference materials allowed
working codeproblem solvinghandling ambiguity - 03Onsite loop
Further rounds on coding, on work you have done, and on motivation. Anthropic does not publish how many rounds there are, in what order, or over how many days, and candidate accounts disagree, so treat the shape of this stage as unsettled.
3 rounds you can practise
Live over Google Meet on Colab or CodeSignal with an interviewer watching you think
production-quality codedebugging speeddesign decisionsYou present work you owned end to end while an interviewer probes the decisions
ownershipengineering judgmentdepthA conversation about the mission, judgment, and how you work with people
mission alignmentreasoning under ambiguityhigh-trust, low-ego - 04Decision and team match
Final decision and matching to a team. Anthropic does not publish how this step works.
Common questions
- Can I use Claude or other AI tools when interviewing at Anthropic?
- Partly, and Anthropic is specific about where. Its candidate guidance is framed as collaboration rather than a ban: you are encouraged to draft first and use Claude to refine, and to prepare with it, in its words to "research Anthropic, practice your answers, and prepare questions for us". Live interviews are "no AI assistance unless we indicate otherwise", and take-homes are the same by default. Anthropic says it will be explicit when AI is allowed.
- Did Anthropic change its policy on candidates using AI?
- Yes. Anthropic banned candidate AI use outright in early 2025, then replaced that with the current staged guidance on 2025-07-10, which encourages Claude for applications and interview prep while keeping it out of live interviews. It has since published a performance-engineering take-home where AI use is expressly permitted, on the reasoning that candidates should be able to use AI as they would on the job.
- What kind of coding problems does Anthropic ask?
- Anthropic does not publish its interview problems, but it does publish how it designs them: drawn from real but niche engineering work, rewarding problem-solving skill over recalled knowledge, needing no narrow domain expertise, and deep enough that strong candidates do not finish. Technical rounds run live over Google Meet on Colab or CodeSignal, you can look things up, and research roles state that all interviews are conducted in Python.
- What does Anthropic actually look for when hiring engineers?
- Capability over credentials: "We care about what you can do, not where you learned to do it." About half their technical staff had no prior ML experience, and plenty of colleagues never went to college. They also blur the engineer/researcher line: "engineers here do lots of research, and researchers do lots of engineering."
- Is there a separate values interview at Anthropic?
- Anthropic does not publish one as a named stage, so treat mission fit as a thread running through the loop rather than a single gate. What it does publish is seven guiding principles it hires against, including describing itself as "a high-trust, low-ego organization" whose people "communicate kindly and directly, assuming good intentions even in disagreement". The written application also asks why you want to work at Anthropic and says it values that answer highly.
Sources
Built from what Anthropic publishes about its own process and from real interview data. No leaked question lists. The questions you get are generated against your own resume, so they are not from anyone else's interview.
Seven guiding principles used as the values rubric; capability over credentials ("We care about what you can do, not where you learned to do it"); engineers do research and researchers do engineering; all interviews over Google Meet; live coding on Colab and CodeSignal with reference materials allowed and basic syntax expected; interviews are explicitly two-way
The current candidate AI policy, last updated 2025-07-10: Claude encouraged to refine a draft you wrote yourself and to prepare for interviews ("research Anthropic, practice your answers, and prepare questions for us"), not allowed in live interviews, and not allowed on take-homes unless Anthropic indicates otherwise
A real Anthropic take-home (2 hours, originally 4, over 1,000 candidates since early 2024); "a normal 50 minute interview" as the standard live slot; live questions built from real but niche work problems, kept in rotation for years; the take-home no-AI default and the explicit per-assessment exception
Independent 2026 reporting that the take-home is current and repeatedly redesigned as Claude improves, and that AI use on that assessment is expressly permitted
That the policy changed: a blanket ban on candidate AI use in early 2025 was replaced by the current staged guidance in July 2025, with Anthropic's head of talent on record
The Anthropic engineering ladder the level field maps to: Software Engineer, Senior, Lead, Staff
- companyAnthropic job posting (Research Engineer, Production Model Post-Training)job-boards.greenhouse.io
"For this role, we conduct all interviews in Python" on research and research-engineering roles; the application-stage AI policy gate linking to the candidate AI guidelines; the weighted "Why do you want to work at Anthropic?" question, present on 43 of 49 live postings
Sources last checked . Hiring loops change, so this date is the honest limit on everything above.