Google Applied Scientist Interview Questions
The questions to prepare for a Google Applied Scientist interview. Questions from real interview reports rank first. Updated daily.
Traverse nested folders and return the k largest files in descending size order using a priority queue.
GoogleFind the longest palindromic substring using center expansion in quadratic time.
GoogleDiagnose a flawed ML model, improve its pipeline, and compare alternative methods using offline and online evidence.
GoogleDesign an end-to-end ML system for stock price prediction, including feature engineering and regression evaluation.
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Handle severe class imbalance in a binary deep learning model using sampling, weighted losses, and the right evaluation metrics.
GoogleExplain vanishing gradients in deep networks and how residual connections, batch normalization, and activation choice improve training.
GoogleExplain the Central Limit Theorem, its assumptions, and when normal approximations break down in practice.
GoogleExplain how transformer self-attention works, including its role in sequence modeling and why it scales better than RNNs.
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