1p3a Experience · May 2026

apple video machine learning engineer interview experience and insights

MLE Phone Screen newgrad
1 upvote 1 reply

Interview Experience

很神奇的一次面试经历,简单分享供大家参考。 以下内容需要积分高于 200 您已经可以浏览 我是博士期间做了一些图像压缩方面的工作。偶然看到 Apple 的 Video MLE 岗位与我有些沾边,就抱着试试看的心态在 LinkedIn 上向一个apple的员工发了 connection 并请求内推,很幸运遇到了很靠谱的小伙伴,帮我拿到了 HR screening。 HR screening 后我参加了两轮 technical 面试(面试官都是团队内部的人)。HR提示面试可能会有 on‑demand coding,并发了 CoderPad 链接,但实际上两轮都主要围绕我的项目经验和与该岗位相关的技术展开,并没有真正做coding。 第一轮有BQ:遇到的冲突怎么解决、 怎么跟进AI的发展。 第二轮问了视频压缩算法和diffusion model。 后续应该是他们找到了更合适的人选,所以没有进到 onsite。但总体体验不错,流程推进很快、团队里的人都很好、面试问题非常贴合岗位 JD。 大家记得仔细钻研 JD,面试问题几乎完全围绕 JD 提问。 新人求加米!!

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About Apple Interview Reports

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

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

During Your Apple 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 Apple 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.