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Summary
I had a virtual onsite interview with Amazon for an Applied Scientist I position in the United Kingdom, which included a phone screen and a full loop covering ML, System Design, Coding, and Behavioral questions, and I received an offer.
Full Experience
Hi,
I had my virtual onsite with Amazon for an Applied Scientist I position in the United Kingdom.
Phone screen- Machine learning questions: bias-variance tradeoff, what is overfitting and how to prevent it, derive the equation of linear regression and logistic regression with MAP
- A medium Leetcode question: https://leetcode.com/problems/max-consecutive-ones-ii/description/
Got the outcome in the afternoon.
Full loop- Science breadth: how to perform A/B testing, what is a t-test, how does k-means work, how do you choose the number of clusters and write a sketch of the algorithm, what is a transformer and why does it work well on text data, how do you deal with imbalanced data, what happens if double the size of your dataset
- Science depth: I do not remember the exact question, but it was related to a prediction system of an item in Amazon marketplace
- Coding: two Leetcode questions https://leetcode.com/problems/next-greater-element-i/description/ and a variation of https://leetcode.com/problems/single-element-in-a-sorted-array/description
- Behavioral: LP questions
I scheduled the full loop 2 weeks after the phone screen.
Outcome: offer
Interview Questions (13)
Explain bias-variance tradeoff.
What is overfitting and how to prevent it?
Derive the equation of linear regression and logistic regression with MAP.
How to perform A/B testing?
What is a t-test?
How does k-means work, how do you choose the number of clusters and write a sketch of the algorithm?
What is a transformer and why does it work well on text data?
How do you deal with imbalanced data?
What happens if you double the size of your dataset?
Behavioral questions based on Amazon's Leadership Principles.
Preparation Tips
Leetcode questions solved: ≈300