What are embeddings in NLP ?
Applied Scientist Interview Questions
1,167 applied scientist interview questions shared by candidates
Interview of DSA had standard questions from codeforces with difficulty of Div2 C/D. In ML two types of questions were asked breadth/depth. One topic focusing the variety of topics we know and one topic exploring internal and in-depth questions from a topic we choose.
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.
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
- unsupervised learning case study
explain random forest, metrics of logistic regression
In the first interview they asked how to implement Dijkstra's algorithm. (What data structures I would use/ runtime) They also asked how I would model a toy problem as an integer program.
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