Leetcode + LLM knowledge first a quick introduction from both sides then one medium level leetcode question followed by a lot of LLM related questions, also asked about projects on resume
Applied Scientist Interview Questions
1,159 applied scientist interview questions shared by candidates
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
How can you convince me that a number is irrational?
Talk about your relevant experience
No behavioral only technical questions
ML: 1. Data Imbalance 2. Unsupervised Learning 3. Evaluation Metric 4. Detection 5. ResNet 6. Transformer ... Coding: 1. Alien Dictionary
Coding, case study
- Tell me why you're interested in this domain. - Tell me about relevant projects you've done in this domain. - What implications would a multi-modal generative AI tool have (compared to a unimodal one) and how would you go about mitigating its biases. - Case Study: A company wants to use an AI tool to summarize managers' feedback for employees. How would you "systematically" approach identifying the biases of such a tool?
What type of model would you use to identify corn fields?
How would you build a machine learning algorithm to recognize dog or cat sounds?
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