Amazon Machine Learning Engineer interview questions

Behavioral questions were heavily oriented towards the Amazon leadership qualities. > Name a time you were innovative > Name a time you delivered a simple solution to a complex problem. Follow up questions included how to quantify the level of success in projects brought up. Machine learning fundamentals: > How to deal with a troublesome dataset (interpretation open ended so think data cleaning, etc.) > How to deal with misrepresentative training data (imbalanced dataset, overfitting, explain how L1/L2 regularization work at an optimization level) > How to deal with a large dataset where only a few examples are labeled (semi-supervised learning) Coding question was: https://leetcode.com/problems/find-original-array-from-doubled-array/

What kind of role is this