Amazon Machine Learning Engineer Interview Questions
63+ Amazon Machine Learning Engineer interview questions drawn from real candidate reports. Sources include 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. Questions span every stage of the Amazon Machine Learning Engineer loop: OA, phone screen, system design, behavioral, and onsite coding.
What to Expect in the Amazon Machine Learning Engineer Interview
The Amazon Machine Learning Engineer interview process typically runs 4 to 6 rounds depending on seniority level. Based on candidate reports in the LeakCode database, the loop usually includes a resume review, an online assessment or coding phone screen, one or more technical rounds, a system design round (for senior and above), and a behavioral or values round.
Difficulty skews toward medium and hard LeetCode-style problems in the coding rounds. System design questions test breadth (component selection, scaling, trade-off reasoning) more than deep implementation. Behavioral questions are tied to the company's stated values and principles.
Amazon Machine Learning Engineer Questions (Sample)
Nned direction for future prepration.
I’m currently working as a Machine Learning Engineer with \~3 years of experience in a service-based company, and I’m planning to switch to a product-based company (targeting companies like Amazon, Ub
How to get Amazon/Microsoft internship as a Sophomore (Canada)?
Hello everyone, as the title explains, I'm a freshman at Simon Fraser University whose goal is to become an iOS/Mobile Engineer in the States. I've been speaking to a bunch of other Canadian uni stude
Amazon SDE I Intern OA Cleared but Recruiter Is Aligning Me With ML/AR Teams — Is This Normal?
Hi everyone, I completed the Amazon SDE Summer 2026 (USA) Internship Online Assessment months ago and just now received an email from a recruiter saying that I successfully cleared the OA. In the emai
Amazon Machine Learning Engineering Onsite Interview Experience and Feedback
This post was last edited by Anonymous on 2025-09-25 12:27 ## Telephone (Interviewer: Senior RS): The first half hour was about projects, similar to system design questions: Why design this product? W
Amazon Applied Scientist GenAI Interview Experience and Insights
For the applied scientist position in Amazon's GenAI area, the process started with a technical phone screen. After passing that, there were four virtual interviews (VOs): one in ML depth, one in ML b
Amazon Machine Learning Engineer Contractor Onsite Interview Experience
Phone screen 1: Implement AUC calculation and some follow-up questions, such as underfitting and overfitting. Phone screen 2: LeetCode merging cross intervals, and some questions about MOE (Mean Excha
Amazon SDE Internship - Seattle (2025)
MSCS at US University . 2 years of prior experience in AI/Ml. Applied on : Around first week of October Got an OA: Around last week of October ( 2 weeks deadline...
Amazon Interview Experience | (FTE) On Campus
Amazon visited our campus (BIT Mesra) on 10th August 2019 for FTE and a 6-month internship.Process: 1 online coding round, 4 F2F Technical Interviews.Online coding round:(...
Amazon Applied Scientist interview experience [offer accepted]
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Amazn AS phone screen experience/chances.
Had the phone screen for AS today. Where I did well: Classical ML questions: Answered all correctly Leetcode: It was a question I read this morning. Solved it in 5 mins. Was asked to code up brute for
Amazon SDE-Intern Offer Accepted!
I’m excited to share that I recently received an offer for the Amazon SDE-Intern position. The internship application process this cycle has been brutal but here’s my experience—hope it helps. I appli
Do you run a personal or home lab?
I have been to couple of interviews and the interviewer wanted to know whether I have experience on deploying AI/ML models, whether I have used SageMaker etc. Though I know the concepts, not really us
Amazon | Applied Scientist Intern | India | Dec 2023 [Offer]
Status: M-Tech CSE student, old IITs Position: Applied scientist intern (6 months) at Amazon Location: Bengaluru (in person) Date: Dec 1st, 2023 (whole process after application took 2-3 weeks) Application: - Applied through ML...
Amazon | Applied Scientist | India | Feb 2024
Coding Concepts (1hr): Problem 1: https://leetcode.com/problems/first-missing-positive/description/ **Problem 2: There is a sale coming on Amazon.in, so sellers are preparing their inventory for the sale, all the sellers putting prices of every item they have....
Amazon Applied Scientist Coding Round
You are given the following conversion factors: """ kilogram gram 1000 kilogram pound 2.21 feet inch 12 ... """ Now, given from_unit and to_unit, output the conversion factor and if it isn\'t possible raise an error. Ex:...
Difficulty Breakdown
33
easy
9
hard
2
medium
Based on 63 questions with difficulty labels from candidate reports.
Interview Rounds
Here is how the Amazon Machine Learning Engineer questions in the LeakCode database break down by interview round, based on what candidates reported:
| Round | Questions in Database |
|---|---|
| oa | 22 |
| phone screen | 18 |
| recruiter | 7 |
| behavioral | 6 |
| system design | 3 |
| onsite | 2 |
Most Common Topics
Question Recency
3
2026
9
2025
12
2024
2
2023
Question counts by interview year, based on candidate-reported dates.
How to Prepare for the Amazon Machine Learning Engineer Interview
Use the LeakCode question database as your primary research tool. Filter by role (Machine Learning Engineer), then by round type to focus your prep on the specific stages in your upcoming loop. Sort by recency to see what 2026 candidates actually faced.
- Start with questions from the last 12 months. Interview processes change and recent data is the strongest signal.
- Cross-reference questions that appear in multiple sources (1p3a, Blind, Glassdoor). Multi-source confirmation means a question has stronger recurrence probability.
- For system design rounds: focus on the question patterns, not individual questions. The same design principles recur across many prompts.
- For behavioral rounds: map your experiences to the company's stated values before the interview. Most behavioral questions at top companies are derivatives of a small set of core leadership competencies.
FAQ
How many Amazon Machine Learning Engineer questions are in the database?
63+ questions from verified candidate reports. The count grows as new reports are scraped daily from 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode.
Are these questions from real Amazon interviews?
Yes. All questions are sourced from actual candidate interview reports, not generated by AI. Each entry links back to its source URL where available, and questions are tagged with the year and round reported by the candidate.
How current is this data?
LeakCode updates daily. The database is filtered to exclude duplicate and low-quality entries. You can filter by interview year to focus on recent cycles.
Does LeakCode cover Amazon OA questions specifically?
Yes. The database includes online assessment questions tagged with round type. See the Amazon OA page for a dedicated view.
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