1p3a Experience · May 2026

meta machine learning onsite interview experience and hiring update

MLE Onsite newgrad
5 upvotes 19 replies

Interview Experience

target 6,电面的时候还是behavior+两道lc,当时还问面试官听说你们要裁员,我的职位会不会被影响,面试官说他也不知道,但一般hiring freeze只会锁junior的,像我面6的话而且是mle应该不受影响。后来排onsite前跟recruiter电话准备onsite我又问了她这个事情,她还信誓旦旦跟我说ml ai这些岗位肯定不会受影响 onsite全是ai coding 第一轮coding两个烙印 工作台不同工序做饭 做出4问好像还有第五问 具体有点不太记得了 反正没感觉自己干了什么 也没写几行代码 都ai搞了 第二轮coding两个亚女 maze 感觉面试官都在学习这种新面试,让你用ai也不是,不让用也不是,为了让他们能在feedback上有东西写,我都是先把我的算法描述清楚再用ai,中间还被claude limit了只能临时换gpt,他们的codepad也在改进,第一轮没有cc,第二轮cc codex都有了 第一轮design event recs,问的很细,包括模型架构具体怎么实现 第二轮design 武器广告...

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About Meta Interview Reports

This question was reported by a candidate who interviewed at Meta. 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 Meta are the higher-signal extractions to take from this report.

For broader preparation context, the Meta 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 Meta reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Meta 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 Meta 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.