1p3a Experience · May 2026

anthropic fellows full-time machine learning tech phone screen interview experience and timeline

MLE Phone Screen newgrad
3 upvotes 4 replies

Interview Experience

5.8 收到第一个codesignal OA, DNS resolver, 5天内做完 5.12 做完第一个oa, 500分左右out of 600,自动立马收到第二个oa, python debug, 同时收到邮件说给我的推荐人发邮件request references了,5天内做完oa, references 7天内得填完 5.16 做完第二个oa,做的时候codesignal出了点bug,对界面也不太熟所以一直很不方便debug,最后只得到了480/600左右的score,焦虑担心了很久,建议还是一定要多熟悉一下codesignal 5.24 收到5 hour take-home takeaway就是竟然真的像他邮件里说的一样oa不需要做到满分也能move forward,不过怀疑他最后final review这些oa的分数也会有影响? 前两个oa这个帖子讲的很清楚了 求大米!!同时求anthropic fe...

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About Anthropic Interview Reports

This question was reported by a candidate who interviewed at Anthropic. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.

Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Anthropic are the higher-signal extractions to take from this report.

For broader preparation context, the Anthropic interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.

How To Practice This Type of Question

Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.

Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Anthropic reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Anthropic Round

Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.

The single most predictive failure mode in Anthropic reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.