TikTok Machine Learning Engineer interview questions

I was a 1 hour zoom interview. The process is smooth. I thought I could pass the interview because I answered all the questions and coding problems. Just don’t know why I didn’t pass it.

Each round typically includes one or two LeetCode-style algorithm questions, usually focusing on data structures like arrays, hash maps, or binary trees. In addition to coding, they also ask some basic but fundamental machine learning and deep learning questions — for example, explaining how dropout works, the role of batch normalization, differences between SGD and Adam, or how overfitting can be handled. Sometimes, they might dive deeper into topics like activation functions, loss functions, or model regularization techniques. The difficulty is usually moderate, but they do expect clear and structured explanations.