In the second half of the interview, I was asked to design a recommendation system for confluence, to recommend articles. NOTE: They say that they ask system design question according to the resume or our previous experience, but I havent worked on a recommendation system previously. So it might be a question based on the teams requirement. The interviewer mentioned that he has experience working on recommendation and it is his field of expertise.
1st Interview: what is RAG why do we use it and metadata filtering. Fairly easy ones. Then asked me coding leetcode easy/medium level question on live coding. 2nd Interview:Design a recommendation system for a store when the input is an api with only userid. He then asked a medium/hard leetcode level coding question.
1. Machine learning and deep learning questions, like bias vs variance, parallel mini batch training. 2. Cuda optimization questions
Can not disclose due to NDA
implement functions of constructing binary tree
Given a DAG, write a function to return the length of the longest path.
Search, BFS, Binary tree, binary search
Why should we choose you
Standard leetcode medium/hard and cookie cutter ML sysdes questions.
Leetcode coding problems. One of the questions wasn't on leetcode though.
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