Discuss ideas for improving the performance of a machine translation system. Followup, how would you decide whether you succeeded?
Applied Research Interview Questions
102 applied research interview questions shared by candidates
The OA was just standard leetcode questions
1. reverse string in-place 2. find maximum number using list of numbers
Leetcode Coding question from top frequency problems
First 10 minutes were spent discussing the team's background, goals, and current projects. Then 3- minutes for questions pertaining to my technical background and prior projects that overlapped with the work their team was doing. Remaining 5 minutes for Q&A.
(1) Talk about your research. (2) A design question on labeling the multiple products from pictures taken by the phone. (3) Coding: Range sum query 2d - immutable
How would you design a model to predict shipping times
Many Machine Learning related questions and a code exercise of sorting elements in a string and counting most frequent tokens.
Describe functioning of Random Forests? Question on CNN's
Problem: Top K Most Similar Documents You are given: an integer array queryEmb of length D, representing a query embedding a 2D integer array docEmbs of size N x D, representing N document embeddings an integer k All embeddings are already L2-normalized. The cosine similarity between two normalized vectors is equal to their dot product. Return the indices of the k documents with the highest cosine similarity to queryEmb, ordered from most similar to least similar. If k > N, return all document indices sorted by similarity. Function Signature def topKSimilar(queryEmb: np.ndarray, docEmbs: np.ndarray, k: int) -> np.ndarray
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