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Apple interview notes, page 16 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·Technical Phone Screen

May 2026
Apple ML Engineer interview with a classic matrix problem. Nothing flashy, but the in-place constraint is where they actually want to see if you know what you're doing.
  • Given an n x n integer matrix, rotate it 90 degrees clockwise in place without allocating a second matrix. Walk through your approach and discuss time and space complexity.

“I started with the naive transpose-into-a-new-matrix approach just to get something on the board, and they let me finish before asking about the space.”

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Apple·Software Engineer·Technical Phone Screen

May 2026
Apple SWE coding round, one question on binary trees. Pretty standard algorithmic interview, nothing too surprising about the format.
  • Given the root of a binary tree of integers, find the maximum path sum.

“Classic tree DP problem but I always second-guess myself on whether the path has to pass through the root or not.”

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Apple·Software Engineer·Onsite - System Design / Architecture

May 2026
Apple system design round for a software engineer role. The whole interview was basically one big deep-dive on clock domain crossing, which I was not expecting at all given the job title.
  • You're designing a digital system with multiple clock domains at different frequencies and unknown phase relationships. Walk through the problem clock synchronizers are solving, when you'd pick each of the common CDC techniques (two-stage flip-flop synchronizer, edge-detect synchronizer, async FIFO, request/acknowledge handshake), and the trade-offs around reliability, latency, throughput, and area. Use concrete examples like crossing a single control signal versus a multi-bit data bus.

“This is a monster of a question and they gave zero warm-up before dropping it.”

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Apple·Product Manager·Onsite - Product Sense / Strategy

May 2026
Interviewed at Apple, got asked about pricing decisions and how you bring a team along for the ride. Short post, one question, not much else to go on.
  • How did you convince your team to align on a specific pricing decision?

“This one tripped me up more than I expected.”

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Apple·Software Engineer·Technical Phone Screen

May 2026
Apple data engineer interview with a classic dynamic programming problem. Nothing too wild but it required a clean solution and the right intuition about skipping adjacent elements.
  • Given an array of integers representing money in houses arranged in a line, find the maximum sum you can collect without picking values from two consecutive positions. For example, given [100, 20, 40, 70, 80], the answer is 220 (100 + 40 + 80).

“I knew this was a DP problem pretty fast but fumbled explaining the recurrence out loud.”

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Apple·Software Engineer·Technical Phone Screen

May 2026
Apple Data Engineer technical screen, just one coding problem but it was a full design question disguised as a coding problem. Took me a while to realize they actually cared about the format choice, not just whether I could write the functions.
  • Implement encode and decode functions for a binary tree: encode should serialize a tree to a string, and decode should reconstruct the original tree from that string. Explain your chosen format and make sure empty children are handled so the structure can be fully recovered.

“I went with preorder traversal and used a sentinel value for null nodes, something like '#' separated by commas.”

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Apple·Product Manager·Onsite - Product Sense / Strategy

May 2026
Apple PM interview with a product sense question about something deceptively mundane. One question, no fluff, just you and a charging cable.
  • You're a PM at Apple. How would you figure out the ideal length for the iPhone charging cable?

“Looks like a silly question until you're actually in it.”

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Apple·Software Engineer·Onsite - Coding / Algorithms

May 2026
Apple SWE onsite, third round, second coding question of the session. Not much detail shared but it was a LeetCode-style problem.
  • Solve a coding problem (LeetCode-style) presented during the onsite.

“No specifics were shared about what the problem actually was, just that it was a coding question in round three.”

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Apple·Software Engineer·Onsite - System Design / Architecture

May 2026
Apple SWE interview focused on object-oriented design for a hotel booking system, then pushed into concurrency territory. The problem starts approachable and gets uncomfortable fast once they ask how you'd handle simultaneous booking requests.
  • Design the class model and core API for a hotel room booking system, including methods to check availability and book a room over a date range.
  • How do you correctly determine whether two booking date ranges overlap, given that check-out day and check-in day on the same date should not conflict?
  • How would you handle concurrent booking requests for the same room to prevent double-bookings?
  • How would you enforce the no-overlap booking invariant at the database level when persisting bookings?
  • How would you extend the system to support cancellation and modification of an existing booking, and what changes to locking would that require?
  • How would you generalize the system so a customer can book any available room of a given type rather than a specific room ID?
  • How would you scale this booking system to thousands of hotels while keeping per-room booking correctness?

“I started with the entities which felt right, Room, Customer, Booking, and a service layer.”

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Apple·Machine Learning Engineer·Onsite - System Design / Architecture

May 2026
Apple ML Engineer system design round, one big open-ended question about building a full text classification pipeline from scratch. Pretty intense scope for a single question and it felt like they wanted to see how far you could go rather than whether you got a 'right' answer.
  • Design an end-to-end machine learning system for classifying a continuously arriving stream of text data, covering online preprocessing, tokenization, embedding generation, model architecture, training strategy, evaluation, and deployment. Also address how you'd handle high data volume, model updates, and training-serving consistency.

“This question has a lot of surface area and I kind of froze for a second deciding where to start.”

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