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Amazon interview notes, page 24 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·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Amazon ML Engineer interview, technical phone screen focused on core PyTorch fundamentals. Pretty straightforward if you've done any real model training, but the order of operations inside the loop is where people slip up.
  • Write a complete PyTorch training loop function that handles device placement, multiple epochs, forward pass, loss computation, backpropagation, and gradient zeroing in the correct order.

“The actual code isn't that hard but I second-guessed myself on where to zero the gradients.”

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Amazon·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Amazon SWE design round focused entirely on a credit card system OOD problem. Pretty deep dive, more design-heavy than I expected, and a few follow-ups I wasn't fully ready for.
  • Design a lightweight credit card system covering card issuance, transaction authorization and settlement, repayment, and statement generation. Define your core entities and their relationships explicitly.
  • How would you model the pending versus settled balance, and walk through what happens to available credit during authorize, settle, and void operations?
  • What data type would you use to represent monetary amounts, and why?
  • How would you apply design patterns to handle card state transitions and fee or interest calculation logic?
  • Two authorization requests for the same card arrive simultaneously. How do you handle the race condition on the available credit check?
  • How does interest accrue during a billing cycle, and what is the correct basis for the calculation?
  • How would you extend the system to support a rewards or cashback feature?

“I jumped straight to writing methods and the interviewer stopped me pretty quickly to ask about my class diagram.”

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Amazon·Technical Program Manager·Onsite - Behavioral / Leadership

Apr 2026
Behavioral round for a TPM role at Amazon. Just one question but they really sat with my answer, asked a bunch of follow-ups I wasn't ready for.
  • Tell me about a time you helped a customer reach a decision.

“I had an example ready but it was too focused on what I did technically and not enough on the customer's actual thought process.”

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Amazon·Machine Learning Engineer·Recruiter / HR Screen

Apr 2026
Interviewed for an ML engineer role at Amazon, basically just one question about motivation to join the company.
  • Why do you want to work at Amazon?

“Classic opener, but I still fumbled it a bit.”

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Amazon·Software Engineer·Online Assessment (OA)

Apr 2026
Amazon SWE online assessment with a greedy pairing problem. Nothing too wild but the constraint around backup memory being >= primary tripped me up at first.
  • Given an array where each element represents a server's memory, pair servers such that each pair has one primary and one backup, where the backup's memory must be greater than or equal to the primary's. Maximize the total memory sum of all primary servers. Each server can only belong to one pair.

“Took me a minute to see the right move here.”

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Amazon·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Amazon ML engineer screen, one technical question about optimizers. Pretty standard stuff but worth thinking through if you haven't revisited the fundamentals in a while.
  • Explain how the Adam optimizer works and walk through its advantages and disadvantages compared to SGD.

“I knew the mechanics well enough but fumbled a bit when comparing tradeoffs.”

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Amazon·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
PM case question for Amazon, framed around an Uber scenario where drivers are pushing riders off the app to collect cash. One question, product strategy flavor, decent amount to unpack if you actually think it through.
  • You're a PM at Uber. Drivers are increasingly convincing riders to pay cash directly instead of through the app. How do you handle this?

“My first instinct was to go straight to enforcement but that felt too narrow.”

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Amazon·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Amazon PM interview with a single product design question about building a wedding registry. Pretty open-ended, which sounds fun until you're actually sitting there trying to figure out where to even start.
  • How would you design a wedding registry product?

“I went straight into features and probably spent too long on the gift-giver experience before even nailing down who the primary user was.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Amazon coding round for a software engineer role, just one problem the whole session. Classic grid traversal question, nothing too exotic, but the pressure of doing it live is a different beast.
  • Given an m×n grid of characters, determine whether a given word can be found by following a path of sequentially adjacent cells (horizontally or vertically neighboring), where each cell can only be used once.

“Knew it was backtracking pretty fast, which was a relief.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Amazon BI Engineer interview with a SQL question that looks easy until you actually think about it. The relational division problem is a classic but I hadn't practiced it in a while and it showed.
  • Given a purchases table and a product catalog table, write a SQL query to find all customers who have purchased every product in the catalog.

“I went straight for a GROUP BY and COUNT approach, comparing the number of distinct products each customer bought against the total rows in the catalog table.”

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