Anthropic Interview Questions
Candidates have reported 236 Anthropic interview questions to PracHub, and the way they cluster says a lot about the loop. The onsite carries the most weight with 122 questions, the technical screen accounts for 61, and a smaller set comes from HR screens and online assessments. Software Engineer is the dominant track at 167 questions, with 22 reported from Machine Learning Engineer loops. Coding and Algorithms leads at 83 questions, followed by System Design at 44, Behavioral and Leadership at 30, and ML System Design at 18. Nothing in the set is tagged easy: 111 questions are medium and 79 are hard, so the floor is high in both the screen and the onsite. The prompts are specific rather than generic. Candidates describe converting streaming call-stack samples into function events, designing large model-weight distribution to GPU workers, building a versioned in-memory database, standing up a low-latency GPU inference service, and working out peer-to-peer model distribution under a shared link cap. Behavioral rounds run alongside that, asking you to explain ownership of a project business metric or describe a strongly held view that proved wrong. Coverage keeps moving, with 41 added in the last 90 days, and one question is tagged as an AI-assisted round. There are also 31 first-hand interview experiences on the site, plus a Software Engineer interview guide.
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