Apple interview notes, page 30 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·Technical Phone Screen

Jun 2026

Apple software engineer interview that went pretty deep into Python internals and concurrency. Two meaty technical questions, both required actual nuance rather than surface-level answers. Came away feeling like I'd studied the right things but maybe not in enough depth.

What are the key differences between Python lists and dictionaries in terms of time complexity, iteration order, mutability, and memory usage? Also, how would you transform a list using map() versus a list comprehension, and when would you pick one over the other?
Explain what the CPython GIL is and how it affects multithreaded programs. When would you use threading versus multiprocessing, and how do you share state safely between threads or processes while avoiding race conditions and deadlocks?

“I fumbled a bit on memory behavior.”

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Apple·Machine Learning Engineer·Technical Phone Screen

Jun 2026

Phone screen for an ML engineer role at Apple. One coding problem, interval-merging flavored, which sounds straightforward until you're actually implementing it under pressure.

Given a string and a list of patterns, return the string with all matching substrings wrapped in bold HTML tags. Overlapping or adjacent matches should be merged into a single bold segment.

“My first instinct was to just find all matches and slap tags around them, which obviously breaks the moment two patterns overlap.”

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Apple·Software Engineer·Technical Phone Screen

Jun 2026

Apple SWE interview, just one question about the filter function. Short and to the point, not much else to report.

Explain how the filter function works.

“Pretty standard but I second-guessed myself halfway through.”

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Apple·Software Engineer·Technical Phone Screen

Jun 2026

Apple SWE interview with a geometry/math-flavored coding question. Pretty short and uneventful from what I can tell, nothing too wild.

Given two points, find the shortest distance between them.

“Classic Euclidean distance setup.”

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Apple·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Apple data engineering interview that focused almost entirely on warehouse design. One big system design question, pretty technical, and they clearly wanted you to know your way around schema patterns and storage choices without being hand-held.

Design a data warehouse schema to support analytics requirements. Walk through your choice of schema pattern, how you'd structure fact and dimension tables, and what storage or partitioning decisions you'd make.

“I went straight to star schema and probably over-explained the basics before getting to the interesting stuff.”

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Apple·Machine Learning Engineer·Technical Phone Screen

Jun 2026

Apple ML engineer interview that turned out to be a lot more backend-y than I expected. The whole thing centered on building a query library for a Kubernetes-style service inventory, then talking through how you'd expose it to an AI agent. Not your typical ML interview.

Implement a filtering function for a service inventory that supports filtering by namespace, required attribute key-value pairs, and a set of allowed statuses. Results should be returned in deterministic order sorted by service ID.
Implement a function that returns all transitive dependencies reachable from a given root service ID, including the status of each dependency. The function must handle missing dependencies and cycles without breaking.
Implement a function that reports the status of every service along every dependency path starting from a root service ID, so it's easy to see if a degraded or down dependency could be affecting the root.
How would you expose this query library as a tool server for an AI agent? Describe how the agent should call the tools and how you would reduce noisy or irrelevant results.

“Straightforward on the surface but the 'all attributes must match' part tripped me up briefly.”

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Apple·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Apple system design round for a software engineer role. One meaty question about storage constraints and inventory serving, the kind where you have to think out loud about tradeoffs you don't usually consider day-to-day.

Design a service that handles inventory lookup requests on a machine with no SSD, only spinning disk (HDD) and a small RAM budget. How do you make it work?

“This took me a minute to even parse.”

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Apple·Software Engineer·Onsite - Behavioral / Leadership

Jun 2026

Behavioral round at Apple for a software engineering role. Two questions, both pretty reflective in nature. Nothing technical, just the kind of stuff that makes you think about your career more than you expected to.

What would your team miss most about you if you left?
What are the most important things you've learned throughout your career?

“I fumbled this a bit.”

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Apple·Machine Learning Engineer·Technical Phone Screen

Jun 2026

Apple ML Engineer interview that went deep on CTR modeling. One long technical question covering basically the entire ML lifecycle, which sounds manageable until you're actually in it trying to remember calibration details on the spot.

Walk through how you'd build a binary classification model for Click-Through Rate prediction end-to-end, covering feature engineering, label definition, class imbalance, model selection, training pipeline, offline evaluation, and production deployment and monitoring.

“This is basically asking you to narrate your entire ML career in one breath.”

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Apple·Software Engineer·Onsite - Coding / Algorithms

Jun 2026

Apple coding round for a software engineer role, basically one massive deep-clone problem that spiraled into every dark corner of JavaScript object graphs. Walked out unsure if I'd nailed it or completely bombed the edge cases portion.

Implement a deep-clone function for nested objects in JavaScript without using JSON serialization or any third-party libraries. It must handle primitives, plain objects, arrays, Maps, Sets, Dates, and RegExps, preserve prototypes and property descriptors, handle circular references and shared substructures, support symbol keys and non-enumerable properties, and leave functions as-is.
How would you ensure that shared substructures in the source object remain shared (not duplicated) in the clone, and how does your approach handle circular references?
Discuss the time and space complexity of your solution, and talk through the tradeoffs between a recursive and an iterative approach in terms of stack safety for very deep object graphs.
Write test cases covering self-referential objects, sparse arrays, NaN, Infinity, negative zero, typed arrays, and large object graphs.

“This question is way bigger than it sounds on first read.”

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