Adobe Machine Learning Engineer interview experience

First I worked on programming and algorithms problems similar to what you’d find on LeetCode or HackerRank. Then I moved into a more theoretical machine learning discussion, followed by implementing part of a neural network and a training process on dummy data.

The setup surprised me in a practical way: it involved shared screen and relied on using internet resources during the ML implementation portion. Even though it was hands-on, it didn’t feel like a pure “memorize everything” coding test. The hardest part was keeping my reasoning tight across both blocks—coding first, then switching