Apple

Apple's interview culture is depth-first and team-specific. Unlike Google or Amazon, there is no single uniform Apple loop — each team (Siri, Vision Pro, Services, Silicon, AppleCare ML) runs its own loop with its own rubric. What unifies them is the obsessive depth on one or two topics rather than breadth across many. Expect interviewers to interrupt your code and ask "why did you choose that data structure" four levels in.

Coding is medium-difficulty (rarely Hard on LeetCode), but interviewers care about clarity, edge cases, memory behavior, and concurrency-safe logic far more than algorithmic novelty. System design is platform-informed: on-device constraints, privacy rules, energy/memory budgets, API design over abstract distributed systems theory. For Cloud/Siri/Services teams, distributed design is in scope.

Behavioral rounds probe taste and judgment over process. Apple discounts STAR templates that are heavy on "we ran a 2-week sprint" — they want "I killed this feature because it cheapened the experience, here's how I defended that call to my PM." The behavioral bar is "would I trust this person with a feature that ships to a billion users without me reviewing every commit." Candidates who anchor every answer on metrics and never invoke product judgment lose signal here.