Two phases: ------- General ML phase + code ------- General questions about ML: * Logistic Regression * Unbalanced binary classification problema * Metrics for Information Retrieval .... + Coding problem in front of engineer, leetcode medium level and discuss computational complexity of the proposed solution (time and space). ------- ML in depth + Amazon Leadership Principles------- (Based on the roles, mine was NLP) * The transformer model * Multihead attention * BERT and RoBERTa + STAR format questions about the ALP.
Applied Scientist Interview Questions
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write code to rank imdb films question relate to invent and simplify and ownership
Explain the project you did in your previous internship.
Previous project experience, either from academia or industry.
Self introduction for about 5 minutes
DSA: Q. Count of inversion pairs Q. Something related to topological ordering ML: Q. Unsupervised learning Q. Metrics and their use cases Q. Boosting algorithms and their mathematics Q. Case study Q. Transformers Q. Computer vision architectures
How do you bring up different opinions to co-workers or upper levels?
Talks about behavioral questions. Should know all of the leadership principles.
Could you tell me about what projects/research you have worked on during PhD?
Round 1: two leet code style med level questions
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