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Apple interview notes, page 1 of 38

FAANG / Big Tech

Most of these Apple write-ups come from Software Engineers (212), then Machine Learning Engineers (85) and Data Scientists (32). The most reported rounds are the technical phone screen (217), the system design round (48), the product sense round (29) and the behavioral / leadership round (22).

372 interview notes · updated Oct 2026

Apple·Software Engineer·Onsite - Multi Round

Aug 2024
Four rounds at Apple, reached out directly by a hiring manager after a year of silence everywhere else, and still managed to blow it. The first technical round had two estimation problems I've done a hundred times and I produced nothing. Two of the four rounds went well by my read, three rejections came back anyway.
  • Estimation / back-of-envelope problem (two were asked back to back at the end of a technical walkthrough).

“I have no good explanation for what happened.”

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Apple·Software Engineer·Recruiter / HR Screen

Apr 2026
Apple screen, pretty standard stuff. They wanted a full walkthrough of my background and flagged upfront that any resume gaps needed to be explained.
  • Walk me through your background and resume, including any gaps and what you were doing during those periods.

“The gap part is what tripped me up a bit.”

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Apple·Software Engineer·Onsite - Coding / Algorithms

Apr 2026
Apple SWE onsite, second coding question in the first round. Not much detail survived the scrape but it was a LeetCode-style problem.
  • Solve a coding problem involving algorithmic logic (LeetCode-style, specific problem unclear from source).

“The original content didn't preserve enough detail to reconstruct what the actual problem was.”

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Apple·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Apple ML Engineer interview touched on a classic but surprisingly deep topic around model generalization. One question but they really dug into it from multiple angles, so it felt more like a conversation than a Q&A.
  • Walk me through overfitting and underfitting: what causes them, how you detect them, and what you'd do to fix each.

“Started with the textbook definitions and train vs.”

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Apple·Frontend Engineer·Technical Phone Screen

Apr 2026
Apple frontend interview that went deep on React architecture. The RSC question was the whole session basically, they really wanted to see if you understood the boundaries and tradeoffs, not just surface-level definitions.
  • How do React Server Components differ from Client Components, and what are the tradeoffs in using each?
  • Can a Server Component render a Client Component, and can a Client Component render a Server Component?
  • What are the bundle size and SEO implications of using React Server Components?

“I started with the execution environment split (server vs browser) which was fine, but then I fumbled a bit when they pushed on the wire format.”

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Apple·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Apple ML Engineer technical screen focused heavily on audio processing fundamentals. The question was broad enough that you could go a lot of directions, which sounds good until you realize you need to actually pick a lane and defend it.
  • Walk through the audio and data processing methods you've used. For each one, explain when you'd choose it, what the trade-offs are across latency, accuracy, noise robustness, and compute cost, and give concrete examples from your work. Be ready to cover things like time-domain vs frequency-domain features, windowing and framing decisions, denoising and voice activity detection, and on-device vs server-side processing, including how those choices affect the downstream model.

“This is one question but it's basically a whole interview in itself.”

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Apple·Software Engineer·Technical Phone Screen

Apr 2026
Apple SWE coding round, one algorithmic question on arrays. Pretty standard stuff but the binary search angle tripped me up a bit.
  • Given an array of integers, find the index of any peak element, where a peak is defined as an element greater than both its immediate neighbors.

“Started with the naive linear scan and they seemed fine with it, but then asked about doing it faster.”

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Apple·Software Engineer·Technical Phone Screen

Apr 2026
Apple SWE interview with a string manipulation problem. Pretty focused session, just the one coding question from what I can tell.
  • Given two strings of equal length, determine whether there is a one-to-one character mapping between them (i.e., are the strings isomorphic).

“Classic problem but I still fumbled the edge cases a bit.”

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Apple·Software Engineer·Technical Phone Screen

Apr 2026
Apple data engineer interview with a sliding window problem. Pretty standard algorithmic screen, nothing too wild, but the window maximum variant has enough edge cases to trip you up if you're not careful.
  • Given an array and a window of size k, return the maximum value in the window as it slides from left to right across the array.

“The naive approach is obvious and I almost went with it just to get something on the board.”

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Apple·Machine Learning Engineer·Hiring Manager Screen

Apr 2026
Short hiring manager screen for an MLE role at Apple. The HM spent a few minutes laying out the team's background before flipping it to me, so you need to have your 'why here' story ready fast.
  • Tell me about yourself and your background.
  • Why are you looking to leave your current role, and what specifically draws you to this team?

“Pretty standard opener but the HM had just finished describing a team that does a mix of classical ML and newer generative stuff, so I tried to mirror that framing back.”

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