Research And Development Scientist Interview Questions

4,833 research and development scientist interview questions shared by candidates

-- What major scientific achievements do you have prior to this in last 3-5 years? -- What are your goals in the next 3 years? -- Was there any time you had to disagree with a team member ot superior and how did you handle it?
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Research Scientist

Interviewed at Leidos

3.8
Jun 10, 2023

-- What major scientific achievements do you have prior to this in last 3-5 years? -- What are your goals in the next 3 years? -- Was there any time you had to disagree with a team member ot superior and how did you handle it?

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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Applied Research Scientist

Interviewed at Microsoft

4
Mar 21, 2026

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

Asked questions about different topics, from what I can recall 1. Describing Inpainting models during training and inference 2. Suggest a training framework for the face recognition on Iphones 3. What is vanishing gradients and what network architecture was proposed to solve this issue. 4. How to calculate Phi without using any prior
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Research Scientist

Interviewed at Apple

4.1
Mar 16, 2025

Asked questions about different topics, from what I can recall 1. Describing Inpainting models during training and inference 2. Suggest a training framework for the face recognition on Iphones 3. What is vanishing gradients and what network architecture was proposed to solve this issue. 4. How to calculate Phi without using any prior

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