(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
Applied Research Scientist Interview Questions
260 applied research scientist interview questions shared by candidates
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.
Tell me about a time
Take-home project: simple ML business case to implement and document; ML technical interview: ML basics like explaining different DL architectures, regularization, optimization, etc...
1. Talk about your projects
In several rounds, I was asked if my research can be applied to train/improve OpenAI O1 models.
How we can address the overfitting problem?
Can't recall the specific questions and they varied by individual. The worst questions were from someone who grilled me on steps of analyses and actually said "pretend you are walking to your computer. Now tell me how you are going to analyze your data." Others were more innocuous but there was still an element of testing ad nauseum.
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