1p3a Experience · May 2026

anthropic frontend tech phone screen: real-world image processing coding interview

Frontend Phone Screen newgrad
4 upvotes 8 replies

Interview Experience

非Leetcode,解决 Real world problem 题目是Image Processing 在CodeSignal平台上把需求全部实现,需要share screen,然后自己找自己喜欢的图像处理的library,我就当场Google了一个边读Doc边用 会给一堆图片,然后再给list of pipelines,每个pipeline都会有几个transformation其中包括变黑白,放大缩小和水平翻转 然后要求candidate在main function里头实现将所有图片依次run through all the pipelines并且导出图片 最后会讨论一下如果图片size比较大的情况下怎么optimize,是I/O bound还是CPU bound觉得有帮助的话求个米,现在在准备VO,求好运🙏

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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.