# Amazon Applied Scientist Interview Experience (2026) 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-machine-learning-engineer-interview-20c561 Source observed: 2026-11-05T01:40:22.983Z Last checked: 2026-11-05T01:40:22.983+00:00 Indexed: 2026-11-06T19:44:30.347+00:00 --- # Amazon Applied Scientist Interview Experience We provide interview guides and candidate-submitted interview experiences. This entry concerns an **Amazon Applied Scientist** interview for a **Mid Level / L4** candidate in the **United States**, conducted remotely. ![Amazon logo](https://exponent-static.s3.amazonaws.com/company_logos/amazon.png) ## Amazon Machine Learning Engineer (MLE) Interview Guide The experience belongs to our [Amazon Machine Learning Engineer (MLE) Interview Guide](https://www.aced.io/guides/amazon-machine-learning-engineer-interview), which includes: - [Expert guide](https://www.aced.io/guides/amazon-machine-learning-engineer-interview) - [Interview experiences](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/experiences) — 7 experiences - [Questions](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/questions) — 78 questions - [Resumes](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/resumes) Updated a month ago by Amazon candidates. [Back to all experiences](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/experiences). ## Experience details - **Role:** Applied Scientist - **Company:** Amazon - **Level:** Mid Level / L4 - **Location:** United States; Remote - **Submitted:** a month ago - **Interview date:** a month ago - **Result:** In Progress - **Difficulty:** Moderate ## Interview process The candidate describes the questions as not difficult but requiring actual experience, with limited benefit from preparation. - Phone interview ### Interview rounds There was **1 question across 1 round**: #### Phone interview - **Questions:** 1 - **Types:** [Technical](https://www.aced.io/questions?type=technical), [Coding](https://www.aced.io/questions?type=coding) - **Specific question:** [What evaluation metrics would you use to evaluate video generation?](https://www.aced.io/questions/7361) - **Follow-up:** What if users have subjective standards about the generated videos? The experience also includes these interview tips: - Practice out loud with a timer. - Keep a framework ready for every round. - Ask the recruiter what each interviewer focuses on so you can tailor examples. The candidate describes the interviewers as collaborative and says they kept nudging toward the user. The team appeared to value structured thinking over polish, and interviewers left time for questions at the end. ## Membership and submissions We offer access to 1.8k+ interview experiences, including the rest of this interview and new experiences added weekly. [Become a member](https://www.aced.io/upgrade?src=experience) or [share your experience](https://www.aced.io/questions/contribute?src=experience). The **24-hour trial starts once your submission is approved**. ## More Amazon interview experiences - [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): 4 rounds. “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” - [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): 1 round, 1 question. “in depth experience of transformers is required and learn to explain the transformers as well. the overall experience was good” - [Machine Learning Engineer — Amazon · Jul 2024](https://www.aced.io/experiences/amazon-senior-machine-learning-engineer-interview-d99557?returnPath=%2Fguides%2Famazon-machine-learning-engineer-interview%2Fexperiences): 4 rounds, 3 questions. “The interview loop was definitely more AI/ML focused than software focused. There was no leetcode really, but I did have to write a simple KNN algorithm from scratch.” [See all 7 Amazon Machine Learning Engineer interview experiences](https://www.aced.io/guides/amazon-machine-learning-engineer-interview/experiences) --- [Read this page’s summary](https://www.aced.io/agents/api/public/v1/page-tldr?url=https%3A%2F%2Fwww.aced.io%2Fexperiences%2Famazon-machine-learning-engineer-interview-20c561&trace=t_679ff9ab98f3) ## Ask a follow-up about this page Need a more specific answer? Ask the exact question you have. It returns a fresh, cited answer from Aced (formerly Exponent)’s knowledge base. No account or API key required. Open this URL with your own question, URL-encoded. Include your question in q. 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