I was asked to discuss some LLM projects I had worked on, exploring the technical aspects and including one or two theoretical questions.
Machine Learning Software Engineer Interview Questions
8,202 machine learning software engineer interview questions shared by candidates
How would I approach one case
A large part of the interview focused on my PhD thesis. After I explained my research at the beginning, the interviewers asked in-depth questions to assess how well I understood my own work. Later, they asked machine-learning–related questions relevant to the role, including hypothetical scenarios about how I would approach and analyze a given type of data etc.
Some fundamental machine learning questions and then a deep dive into RAG system components.
CNN mechanism, filters, pooling layers, Transformer mechanism, positional encoding
1. Explain the E2E architecture of a multi-agent system that you have built? 2. Explain how BERT works? 3. How do you evaluate RAG system?
How does K-means algorithm work
Q: Describe yourself? Q: What project are you the most proud of?
Describe a time when you disagreed with a stakeholder.
Phone: Decode string, e.g. input “3[a2[c]]” output “accaccacc” What if the string is a stream that is not able to fit into the memory? Onsite: LRU Cache Implement KNN, bias variance tradeoff, why curse of dimensionality, discussion of convergence of sgd (or gd), why cross validation Min height tree
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