# Amazon Machine Learning Engineer Interview Experience Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/experiences/amazon-senior-machine-learning-engineer-interview-d99557 Source observed: 2026-11-05T00:30:49.633Z Last checked: 2026-11-05T00:30:49.633+00:00 Indexed: 2026-11-06T05:48:11.783+00:00 --- # Amazon Machine Learning Engineer Interview Experience We publish interview experiences and preparation resources through Aced, formerly Exponent. This experience concerns an **Amazon Machine Learning Engineer, Senior / L5** candidate. - **Location:** United States; Remote - **Result:** Got offer - **Submitted:** 5 months ago - **Interview date:** 2 years ago - **Timespan:** 10 weeks - **Difficulty:** Difficult - **Total compensation:** **$240,000** (salary, stock, and bonus) ![Amazon logo](https://exponent-static.s3.amazonaws.com/company_logos/amazon.png) ## Amazon Machine Learning Engineer (MLE) Interview Guide The guide was updated a month ago by Amazon candidates and includes: - [Expert guide](https://www.aced.io/guides/amazon-machine-learning-engineer-interview) - [Interview experiences — 7](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/experiences) - [Questions — 78](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/questions) - [Resumes](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/resumes) [Back to all Amazon Machine Learning Engineer interview experiences](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/experiences) ## Interview process The candidate describes the loop as more AI/ML-focused than software-focused. There was no LeetCode-style interview, but the candidate had to write a simple KNN algorithm from scratch. The process had three stages: 1. Online assessment 2. Technical interview 3. Final round ## Interview rounds There were **3 questions across 3 rounds**. ### Online assessment - **1 question** - Free preview - Specific question: [Find the maximum subarray sum.](https://www.aced.io/questions/973) ### Technical interview - **1 question** - The interview lasted 45 minutes with a senior interviewer. - It mainly used open-ended questions, with a short follow-up near the end and substantial pushback on tradeoffs. - Question: “How would you improve a product you use every day for a new market?” - Candidate approach: picked a segment first, sized it, compared three options, then chose one and its success metric. ### Final round - The interview lasted 45 minutes with a senior interviewer. - It mainly used open-ended questions, with a short follow-up near the end and substantial pushback on tradeoffs. - Question: “How would you improve a product you use every day for a new market?” - Candidate approach: picked a segment first, sized it, compared three options, then chose one and its success metric. ## Interview tips Practice out loud with a timer, keep a framework ready for every round, and ask the recruiter what each interviewer focuses on so you can tailor examples. ## Company culture The candidate describes interviewers as collaborative and focused on the user. The team appeared to value structured thinking over polish, and interviewers left time for questions at the end. ## Access and contribution The full experience is part of our library of **1.8k+ interview experiences**. [Become a member](https://www.aced.io/upgrade?src=experience) to read the rest and new experiences added weekly, or [share your experience](https://www.aced.io/questions/contribute?src=experience). A **24-hour trial starts once your submission is approved**. ## More Amazon interview experiences - [Applied Scientist — Amazon · Sep 2026](https://www.aced.io/experiences/amazon-machine-learning-engineer-interview-20c561?returnPath=%2Fguides%2Famazon-machine-learning-engineer-interview%2Fexperiences): “The questions are not difficult but do require some actual experiences. Not much preparation can help.” **1 round, 1 question**. - [Machine Learning Engineer — Amazon · Mar 2026](https://www.aced.io/experiences/amazon-machine-learning-engineer-intern-interview-a8d17e?returnPath=%2Fguides%2Famazon-machine-learning-engineer-interview%2Fexperiences): “It started with self-introduction and the interviewer wanted to know more about my research. So we main discussed about the papers and the potential topic I can do during the internship” **4 rounds**. - [Machine Learning Engineer — Amazon · Jan 2026](https://www.aced.io/experiences/amazon-machine-learning-engineer-interview-4925e3?returnPath=%2Fguides%2Famazon-machine-learning-engineer-interview%2Fexperiences): “in depth experience of transformers is required and learn to explain the transformers as well. the overall experience was good” **1 round, 1 question**. [See all 7 Amazon Machine Learning Engineer interview experiences →](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/experiences) ## Aced resources We offer pricing, courses, coaching, interview guides, interview experiences, interview questions, peer mock interviews, job boards, job referrals, and company directories. 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