Anthropic interview reports describe more than one kind of technical screen. Some candidates recall practical coding, including stack-trace work and web crawling; other reports describe a system-design screen or a different process for staff roles. Those accounts are useful preparation evidence, but they do not establish one current loop for every team.
How this page was researched
This page summarizes the Anthropic entries in Parlel's LeetCode Discuss research collection, prepared on October 31, 2026. The collection preserves links and role signals, but not a publication year for every post. Where the source notes give only a topic or a short task label, this guide keeps that limit visible instead of filling in a full prompt. Use the linked Discuss pages for the original reports and any later updates.
Roles represented in the reports
| Role signal in the source | Evidence captured | What the report supports |
|---|---|---|
| Software engineer phone screen | A stack-trace coding task and a CodeSignal assessment are mentioned | Coding-screen preparation; the OA statement is not reproduced in the notes |
| ML infrastructure engineer, about five years of experience | Web crawler coding and a multithreading follow-up | A concrete phone-screen example and concurrency follow-up |
| Infrastructure software engineer | A web-crawler phone-screen prompt | A second report of a crawler task |
| Staff or unspecified seniority | Process descriptions vary across reports | A reason to confirm the actual loop with the recruiter |
These are candidate accounts, not an official Anthropic interview specification. Role, team, level, and interview date can change the stages and questions.
Software engineering phone-screen reports
Stack-trace coding task
One SWE phone-screen report names a Stack Trace problem. The research notes preserve the title but not the complete statement or constraints, so this guide does not invent parser rules or expected output. Read the Anthropic phone-screen report on LeetCode Discuss for the original detail. The same account says its CodeSignal assessment used a practiced problem in the style of Offer Retriever #41; because the collected notes do not preserve the full question, it is not expanded here.
Web crawler and concurrency follow-up
An ML-infrastructure candidate reported implementing a breadth-first web crawler, then discussing how to multithread it with a thread pool or asynchronous tasks. The report describes a follow-up to the initial task, not a separate guaranteed interview round. See the Anthropic phone-screen report from a candidate with five years of experience.
A separate infrastructure SWE thread also names building a web crawler in the phone screen. It is useful corroboration that this prompt appeared in more than one account, but it does not prove that Anthropic routinely asks it. (LeetCode Discuss: Anthropic software engineer question)
Recruiter and mission-fit discussion
The reports mention a resume walkthrough and “Why Anthropic?” in recruiter conversations. One ML-infrastructure candidate also recalled being asked about their views on AI safety and mission alignment. These are reported conversation topics, not a standardized values interview. The details appear in the SWE phone-screen account and the ML-infrastructure account.
Why the reported process varies
Other Discuss threads describe a practical coding screen followed by a virtual onsite with coding, design, and a hiring-manager conversation. A separate account describes a 60-minute technical screen focused on system design, while a staff-level thread notes a language-choice screen. These are distinct reports, not stages to combine into one implied process: practical screen and onsite account, system-design screen account, and staff screen account.
For an upcoming interview, ask the recruiter which stages apply to your role and level, whether coding is practical or algorithmic, and what design scope to expect. Then prepare against that confirmed outline rather than assuming every online report describes your loop.
Preparation based on these reports
- For a crawler task, clarify URL normalization, duplicate handling, allowed domains, failure behavior, and stopping conditions before coding.
- For a concurrency follow-up, explain how workers share a frontier, avoid fetching the same URL twice, and shut down cleanly.
- For a stack-trace prompt, ask for sample input and output and state assumptions before choosing a representation.
- Prepare a concise account of a project you owned and why Anthropic's work interests you. Keep your answer grounded in the role rather than reciting company slogans.
- Treat AI-safety discussion as a chance to reason carefully about trade-offs. The reports show that one candidate recalled the topic; they do not define an expected answer.
Frequently asked questions
Does Anthropic always ask a web-crawler question?
No. Multiple candidate reports in this collection mention a crawler, but that is anecdotal evidence, not a promise about a current interview. Confirm the format for your specific opening.
Are the CodeSignal questions listed here?
No. The source notes mention an assessment and a practice-problem reference but do not preserve enough of its statement to reproduce it reliably.
Is there one standard Anthropic software engineer loop?
The reports summarized here differ: practical coding, a system-design-only screen, and a staff-level language-choice screen are all mentioned. The hiring team and role matter.
For broader practice, compare the OpenAI interview reports, review system design interview questions, and browse the company interview experience hub.
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