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Amazon interview notes, page 12 of 159

FAANG / Big Tech

Most of these Amazon write-ups come from Software Engineers (1,092), then Data Scientists (182) and Product Managers (165). The most reported rounds are the technical phone screen (618), the behavioral / leadership round (309), the online assessment (228) and the system design round (159).

1581 interview notes · updated Oct 2026

Amazon·Software Engineer·Onsite - Product Sense / Strategy

Apr 2026
Got asked to critique Amazon as a product designer, which is a weird thing to be asked in an Amazon interview.
  • What are your criticisms of Amazon as a company or product?

“Sitting across from an Amazon interviewer being asked to trash their own company is a strange place to be.”

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Amazon·Software Engineer·Recruiter / HR Screen

Apr 2026
Interviewed at Amazon, got the classic 'why do you want to work here' question and had to figure out how to answer it without sounding like I just read the careers page.
  • Why do you want to work at Amazon?

“I fumbled this more than I expected.”

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Amazon·Data Scientist·Technical Phone Screen

Apr 2026
Amazon interview touched on statistics fundamentals, specifically the distinction between power and confidence level. Pretty short on details but it's the kind of thing that trips people up if they haven't reviewed it recently.
  • What is the difference between statistical power and confidence level?

“These two get conflated a lot and I've seen people fumble it by defining one in terms of the other.”

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Amazon·Software Engineer·Online Assessment (OA)

Apr 2026
Amazon SWE coding round with a math-heavy digit counting problem. Not the kind of question you can brute force your way through at scale.
  • Given an integer n, count how many times the digit 1 appears across all integers from 1 to n.

“My first instinct was to just iterate through every number and count the 1s.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Amazon Applied Scientist technical screen covering ML fundamentals and a bunch of LLM-specific stuff. Pretty broad range, felt like they were stress-testing whether you actually know the theory or just know the buzzwords.
  • What is the difference between overfitting and underfitting, how do you detect each, and what are your options for fixing them?
  • Compare L1 and L2 regularization. How do they differ in terms of sparsity, their geometric interpretation, and gradient behavior?
  • Can you explain how LoRA works and why it's useful for adapting large language models?
  • How does retrieval-augmented generation work and what problems does it solve?
  • Walk me through how LLM agent architectures are structured and what the key design considerations are.

“Felt pretty solid here.”

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Amazon·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Amazon product strategy round, focused on how a B2B company should think about breaking into B2C. One question, pretty open-ended, and I felt like I was rambling for most of it.
  • Our company has historically operated in B2B. We now want to enter the B2C market. How would you approach positioning us in this new segment?

“I jumped straight into customer segmentation and kind of forgot to first ask why they were expanding at all.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
Interviewed for an EM role at Amazon, and it was pretty much what you'd expect: a behavioral round built around their leadership principles.
  • Tell me about a time you raised the bar for your team or organization.

“Classic Amazon LP question.”

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Amazon·Software Engineer·Onsite - Coding / Algorithms

Apr 2026
Amazon SWE coding round with an AI-assisted debugging twist. You get a full-stack movie recommendation project and have to track down a bug causing the homepage recommendations to not render, but the built-in AI tool can only look at one file at a time, so you're doing most of the detective work yourself.
  • You're given a full-stack movie recommendation project. There's a bug somewhere in the codebase causing the recommendation section on the user's homepage to not display. Find and fix it. You have access to an AI assistant, but it can only analyze one file at a time.

“This one messed with me more than I expected.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Quick Amazon solutions architect screen, basically just one networking fundamental and then it was over.
  • Can you explain how DNS works?

“Pretty foundational stuff.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
Amazon SWE behavioral round, just the one question about pushing back on leadership. Pretty standard LP territory but it still tripped me up a bit.
  • Tell me about a time you disagreed with or pushed back on a decision made by leadership.

“I had a story ready but it came out way too passive, like I barely pushed back at all.”

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