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Apple interview notes, page 17 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·Data Scientist·Technical Phone Screen

May 2026
Apple data scientist interview that went pretty deep into statistical theory. Four questions, all probability and inference, no product sense or SQL anywhere. Felt more like a stats PhD oral exam than a job interview.
  • You have 200 independent minute-level event counts with sample mean 14.5 and sample variance 16.2. Under a Poisson model, derive the MLE for lambda, its asymptotic variance, and build a 95% Wald confidence interval.
  • Test whether the data follows a Poisson distribution (equidispersion) versus being overdispersed. Specify the test statistic, its reference distribution, and give a decision at alpha=0.05 using the provided sample mean and variance.
  • For a single Poisson random variable with lambda=120, approximate P(100 <= X <= 140) using the Normal approximation with continuity correction. Write out the exact Normal integral and explain why the correction matters.
  • Under what conditions is a Normal approximation to a Poisson valid, when does it break down, and what alternative model would you use when the sample variance is much larger than the sample mean? Name one diagnostic you'd check.

“MLE derivation was fine, lambda-hat equals x-bar, straightforward log-likelihood stuff.”

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Apple·Machine Learning Engineer·Technical Phone Screen

May 2026
Did a technical screen for an ML Engineer role at Apple. One question about staying current in AI, nothing too wild, but it made me realize I hadn't thought carefully about how I actually do that day to day.
  • How do you stay current with developments in the AI field?

“I rambled a bit.”

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Apple·Product Manager·Onsite - Product Sense / Strategy

May 2026
Product sense question framed as a VP email asking about social features for Lyft. Felt like an Apple interview that borrowed a Lyft scenario, which was a bit disorienting.
  • Your VP sends you an email saying they see an opportunity to add social features to the Lyft app to boost engagement for riders or drivers. Walk through your analysis and give a recommendation.

“The email framing threw me a bit because it's deliberately vague.”

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Apple·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Apple for a software engineering role. Three questions, all focused on judgment and influence, no coding involved. The whole thing felt more like a leadership interview than anything technical.
  • Tell me about a time you moved forward on something without seeking input or advice when, looking back, you probably should have. What happened and what did you take away from it?
  • Describe a situation where you had to reprioritize your own work, maybe because a deadline moved or something urgent came up and you couldn't get to everything you'd planned.
  • Walk me through a time you got people who didn't report to you to shift their priorities, and how you handled it when they pushed back.

“This one stung a bit to answer.”

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Apple·Data Scientist·Onsite - System Design / Architecture

May 2026
Apple DS interview with a meaty system design question about building a query router that decides whether to send user input to Siri or a GPT backend. One question, but it sprawled across six sub-parts covering metrics, labeling, modeling, edge cases, offline eval, and A/B testing. Felt more like a product-ML hybrid than a pure DS screen.
  • Design an end-to-end routing system that decides whether a user's natural-language query should go to Siri or a GPT-based assistant. Cover product metrics, ground truth labeling, model architecture, handling of ambiguous and multi-intent queries, offline evaluation, and how you'd run an online experiment.

“This is one of those questions that sounds contained until you realize it's actually six questions stitched together.”

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Apple·Software Engineer·Technical Phone Screen

May 2026
Apple data engineer interview, one question deep into a behavioral/technical hybrid round. The whole thing was basically a single extended prompt about your current project, so you better have something real to talk about.
  • What is the most interesting part of your current project? Walk us through the project and explain specifically what makes that aspect interesting, whether it's a technical challenge, something novel, the impact, or the ambiguity involved. What was your role?

“This question sounds easy until you're actually in it and realize they want you to go three levels deep on one specific thing, not give a project overview.”

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Apple·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Apple for a SWE role. Just the one question but it took me a second to figure out where to even go with it.
  • Tell me about a time when you underestimated someone you were supposed to work with.

“I paused longer than I should have.”

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Apple·Machine Learning Engineer·Technical Phone Screen

May 2026
Apple ML Engineer interview that was basically one giant question about how you'd train a model from scratch, start to finish. They wanted the full pipeline, not just the flashy parts. Pretty intense for a single prompt.
  • Walk through the entire process of training a machine learning model end-to-end, covering problem framing, data, modeling, training, evaluation, and deployment.

“This is a deceptively exhausting question.”

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Apple·Machine Learning Engineer·Hiring Manager Screen

May 2026
Hiring manager screen for an ML Engineer role at Apple, pretty much all behavioral and culture fit. Nothing technical, just a lot of talking about yourself and why you want to be there.
  • Walk me through your career history and explain the reasoning behind each transition you made.
  • Why are you interested in this specific team and role at Apple?
  • How would you describe your working style, and what do you need from a manager to do your best work?
  • What questions do you have for us about the team's direction and how success is measured in this role?

“This one always sounds easier than it is.”

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Apple·Software Engineer·Technical Phone Screen

May 2026
Apple technical screen for a software engineer role that went deep into RTL design and lint tooling. Pretty niche stuff, not your typical coding interview.
  • When a lint tool flags 'treat as black box', 'combinational loop', and 'LHS/RHS width mismatch' in RTL code, explain what causes each warning, why each is dangerous if ignored, and how you'd investigate and fix them. Also explain why lint matters in a digital design flow.

“This was a meaty multi-part question and I think I handled the width mismatch part fine since that's pretty straightforward, implicit truncation or sign extension doing something you didn't intend.”

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