Apple Machine Learning Engineer Interview Questions
15+ Apple Machine Learning Engineer interview questions drawn from real candidate reports. Sources include 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. Questions span every stage of the Apple Machine Learning Engineer loop: OA, phone screen, system design, behavioral, and onsite coding.
What to Expect in the Apple Machine Learning Engineer Interview
The Apple Machine Learning Engineer interview process typically runs 4 to 6 rounds depending on seniority level. Based on candidate reports in the LeakCode database, the loop usually includes a resume review, an online assessment or coding phone screen, one or more technical rounds, a system design round (for senior and above), and a behavioral or values round.
Difficulty skews toward medium and hard LeetCode-style problems in the coding rounds. System design questions test breadth (component selection, scaling, trade-off reasoning) more than deep implementation. Behavioral questions are tied to the company's stated values and principles.
Apple Machine Learning Engineer Questions (Sample)
Question on What to Expect for Apple SWE Interview for Ads Engineering dept
Hello 👋 I have an upcoming internship interview next week and am a bit nervous as I am not too sure what exactly to prepare for. The Uni Recruiter told me that there will be a mix of technical and beh
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Which is one is more optimal? I prioritize resume value for new grad recruiting and RO rate. Pay doesnt matter to me for internship. I have heard the RO rate for Apple is pretty bad over past few year
Stressing out about APPLE RO Rate
Hey everyone, I just accepted an **SRE internship on Apple’s Applied ML team** for this summer, and I’m super nervous. I don’t want to have to go through recruiting again after this. I had a SWE inter
apple video machine learning engineer interview experience and insights
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！！
apple mle position interview experience and queries on interview process
国内苹果mle岗位 两周前被人联系面试，说一共只有3轮（这正常吗？）。问了下内部人员说这人不是hr，我估计是hm。 接下来的两周火速面了两轮技术面，每次都是第二天上午就通知下一轮（我觉得我面的都有瑕疵，不知算不算过了） 第三轮bq回想起来自己不经意踩了两个大雷（太想表现得自然直接chill一点了），其它问题应该没大毛病： 1 why apple: 直说因为有光环，然后扯了一堆外企氛围，后面有找补说这个岗位适合我，其它外企顶尖大厂的岗位匹配度不高 2 被怼没有业务sense怎么办：在之前一些问题的铺垫下我以为要带入真的遇到难缠同事了，为了强调自己不会被冒犯不经意judge了下说这种对人不对事的标签很没有职业素养，尴尬的是对方不是自己。然后才说自己会如何回复blabla。 和ai复盘了下感觉自己踩雷了，但也可能是反刍焦虑。 目前在bq后的第四个工作日，还没消息。 请教下：一共三轮面试正常么？联系我的人是hm?我还有戏吗？ 顺便求米，感谢大家
How to Prepare for Machine Learning System Design Interviews at Apple
I've recently been collecting ML-related interview experiences, wanting to practice and learn about MLE system design interview questions. I've already read bytebytego's ML system design post, but aft
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Apple SWE Interview Experience [Summer 2025] One rejection One ghosted :(
**Two Apple Interviews: One Rejection, One Ghosting :(** 3 year Software engineer + 1 full year of interning sdet/full-stackish In progress MS in applied ai/ml I was contacted by two separate recruite
What to expect in Apple’s technical round for AI Operations Lead?
Hey folks, I have an upcoming interview for the **AI Operations Lead** role at Apple. I know this is not a pure SWE or research position, it’s more focused on AI strategy, operational integration, and
Apple Recruitment Process
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apple machine learning tech phone screen interview overview
HM简单介绍背景 rotate matrix，给你一个matrix 旋转90 python 你可以两个for loop 也可以in place，这个直接in place做了 vision encoder基本概念，怎么training， LLM 基本performance bottle neck， memory， latency优化 简单聊聊简历 没什么follow up请大家狠狠加米，我要看面筋
Apple | Language Engineer | Barcelona | 11/2023-01/2024 [Reject]
Status: BS Computer Engineering | BS Mathematics | pursuing M.Sc YOE: 6 as SE Position: AI/ML - Language Engineer at Apple Location: Barcelona, Spain Date: November 2023 - January 2024 Steps: 1. Introductory phone call 2. Interview...
Apple AIML Intern Interview
Got an email from a recruiter telling me, they want to schedule a Interview regarding a AI/ML Internship I have applied for. During the Interview, I was first asked some questions...
Apple | ML Internship | Feb 2022 (Waiting)
Interview was for a summer internship at Apple in Germany. It was my first interview, however the title of the meeting was "virtual onsite". Nevertheless, this was my first interview...
Apple | ML SWE 3 | July 2022 | ICT4 | Zurich
Hirinig manager interview: Discuss about experience and the role Phone Interview: Given some label classes and the ground truth at a json file, compute: confusion matrix, accuracy, precision, recall per class Discuss on the...
Difficulty Breakdown
5
easy
1
hard
Based on 15 questions with difficulty labels from candidate reports.
Interview Rounds
Here is how the Apple Machine Learning Engineer questions in the LeakCode database break down by interview round, based on what candidates reported:
| Round | Questions in Database |
|---|---|
| phone screen | 4 |
| recruiter | 3 |
| take home | 2 |
| onsite | 2 |
| system design | 1 |
Most Common Topics
Question Recency
5
2026
6
2025
2
2024
2
2022
Question counts by interview year, based on candidate-reported dates.
How to Prepare for the Apple Machine Learning Engineer Interview
Use the LeakCode question database as your primary research tool. Filter by role (Machine Learning Engineer), then by round type to focus your prep on the specific stages in your upcoming loop. Sort by recency to see what 2026 candidates actually faced.
- Start with questions from the last 12 months. Interview processes change and recent data is the strongest signal.
- Cross-reference questions that appear in multiple sources (1p3a, Blind, Glassdoor). Multi-source confirmation means a question has stronger recurrence probability.
- For system design rounds: focus on the question patterns, not individual questions. The same design principles recur across many prompts.
- For behavioral rounds: map your experiences to the company's stated values before the interview. Most behavioral questions at top companies are derivatives of a small set of core leadership competencies.
FAQ
How many Apple Machine Learning Engineer questions are in the database?
15+ questions from verified candidate reports. The count grows as new reports are scraped daily from 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode.
Are these questions from real Apple interviews?
Yes. All questions are sourced from actual candidate interview reports, not generated by AI. Each entry links back to its source URL where available, and questions are tagged with the year and round reported by the candidate.
How current is this data?
LeakCode updates daily. The database is filtered to exclude duplicate and low-quality entries. You can filter by interview year to focus on recent cycles.
Does LeakCode cover Apple OA questions specifically?
Yes. The database includes online assessment questions tagged with round type. See the Apple OA page for a dedicated view.
Related: Apple All Questions · Apple OA Questions · Browse All Companies · Data Sources