Discuss ideas for improving the performance of a machine translation system. Followup, how would you decide whether you succeeded?
Applied Research Scientist Interview Questions
54 applied research scientist 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
(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
Many Machine Learning related questions and a code exercise of sorting elements in a string and counting most frequent tokens.
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
Experience with programming and related research topics.
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Take-home project: simple ML business case to implement and document; ML technical interview: ML basics like explaining different DL architectures, regularization, optimization, etc...
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