Screen: - one round of 90-minute coding; 4 related problems of increasing complexity - Leetcode-style interview with a person. 2 questions - palindrome, trees Full loop (each interview is ~45 mins): - AI-assisted coding. You need to understand a codebase, fix bugs, implement new functionality. You can use Claude - 2 medium Leetcode problems - behavioral. Focus on past projects, conflict resolution etc. - ML design.
Pretty standard leet code style questions
In-depth about SGD, activation functions, vanishing gradient, R-CNN, Image processing techniques.
BST algorithms, topological graph search etc,
ML theory, coding, system design, ML system design. If you've got ml background, just review theory a and systems design a bit if needed. Study coding from the usual codign interview resources so that you bring your A game.
SVM,CNN,knapsack
How can you use genai different than ML?
How a neural network can be checked How to overcome overfitting
Q: How to design a text classification problem?
Q: what is your interest in machine learning?
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