Popular ML components like LSTMs, Transformers, CNN etc. Building ML models in the context of speech recognition/NLP and advantages or shortcomings of each approach. These have to all be addressed while building an ML pipeline. Know your own projects in detail and why certain models were used vs. others
Regularization, Over-fitting, Unbalanced data, ResNet, CNNs, C++ Inheritance
Your solutions to improve the code retrieval system
High level design questions about designing a distributed system for url shortening and scaling that system for millions of requests per second to that url
What is SVM and how to do hyperparameter tuning in SVM?
Are you willing to work overtime? Do you have a reliable way to work?
Write an algorithm to merge two sorted arrays
Name a time where you had to make tough decision about something that your boss told you to do differently than how you thought it should be done.
Machine learning questions about binary classification
Leer code question like LRU and bucket sorting
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