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Apple interview notes, page 7 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·Machine Learning Engineer·Onsite - Behavioral / Leadership

Apr 2026
Apple ML Engineer behavioral round, basically one big question that ate the whole session. They wanted the full story on a hard project and I mean full, scope, decisions, blockers, outcome, what you learned. Left feeling like I either nailed it or completely rambled for 45 minutes.
  • Walk me through your most challenging project. What made it hard, what was your role, what obstacles did you face, and what did you actually learn from it?

“This is the kind of question that sounds manageable until you're mid-answer and realize you've been talking for eight minutes and haven't gotten to the hard part yet.”

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Apple·Data Scientist·Technical Phone Screen

Apr 2026
Apple data scientist interview with a meaty modeling critique question. No fluff, just a wall of statistical concepts thrown at you and expected to untangle them coherently. Felt more like a written exam than a conversation.
  • You're reviewing a linear regression workflow built by another data scientist for modeling session dwell time on a website. The analyst assumed OLS was valid because Y looked normally distributed, fit every possible predictor combination including squared and interaction terms, and picked the model with the best in-sample fit. Critique the workflow: what would you clarify, what's wrong with each step, and how would you redesign it?

“This question is basically five questions stapled together, which I didn't fully appreciate until I was already three minutes into talking about Gauss-Markov and realized I hadn't touched overfitting yet.”

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Apple·Software Engineer·Technical Phone Screen

Apr 2026
Apple SWE coding round, just one question but it was a classic grouping problem. Pretty standard session, nothing too surprising.
  • Given an array of strings, group all anagrams together. The output order doesn't matter.

“Sorted each string as a key and used a hashmap to bucket words together.”

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Apple·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Phone screen with an Apple ML engineer who was pretty laid-back and seemed genuinely interested in my background. The conversation centered on my own projects, which should've been easy, but it was my first real interview in a while and I fumbled more than I'd like to admit.
  • Walk me through your personal projects and how they relate to the work we do here.

“This should've been the easiest part of the whole call.”

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Apple·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
Interviewed for a product designer role at Apple, just one behavioral question from what I can tell. Pretty standard stuff but Apple's bar for storytelling felt higher than I expected.
  • Can you walk me through a time you collaborated effectively as part of a team?

“I had an answer ready but it came out way more vague than I wanted.”

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Apple·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Coding round for an MLE role at Apple. One question, matrix rotation, and I just went straight to the in-place approach without bothering with the two-loop version.
  • Rotate a matrix 90 degrees.

“Skipped the naive two-loop approach and went straight to in-place.”

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Apple·Software Engineer·Onsite - Coding / Algorithms

Apr 2026
Apple coding round with a string problem that kept escalating. Started simple enough but the follow-ups went deep into distributed systems territory, which I wasn't fully expecting from what looked like a basic coding question.
  • Given a string problem, optimize your solution as data scale increases: first for a single machine with multiple threads, then for a distributed multi-machine setup. Discuss the pros and cons of each approach, how the machines coordinate, and identify the bottleneck at each stage (CPU, memory, bandwidth, disk, etc.).

“The initial string part was fine, nothing wild.”

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Apple·Software Engineer·Technical Phone Screen

Apr 2026
Apple SWE coding round where I had to solve a LeetCode-style problem and come up with two different solutions. Hadn't touched code in a bit so one of my solutions had a bug, though the interviewer didn't catch it.
  • Solve a LeetCode-style coding problem and provide two distinct solutions.

“Came up with two approaches but one had a small bug I only noticed after the fact.”

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Apple·Software Engineer·Technical Phone Screen

Apr 2026
Apple SWE interview that came down to a classic linked list cycle detection problem. Not much to it, but the pressure of the Apple name made my brain go slower than usual.
  • Detect whether a linked list contains a cycle.

“Floyd's algorithm, two pointers, slow and fast.”

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Apple·Software Engineer·Technical Phone Screen

Apr 2026
Apple SWE technical phone screen, one question that went deeper than I expected on Java concurrency basics. Felt okay about it but definitely left some things on the table.
  • What are the differences between Runnable and Callable in Java, and when would you use one over the other?

“Started fine, covered the void vs generic return type difference and the checked exception thing.”

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