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?
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,194 machine learning interview questions shared by candidates
I was asked to discuss some LLM projects I had worked on, exploring the technical aspects and including one or two theoretical questions.
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.
How optimization works in an ML model
What is my Greatest strength and weakness
What sort of questions do you ask Copilot or ChatGPT to optimize code or assess performance?
CNN mechanism, filters, pooling layers, Transformer mechanism, positional encoding
Some fundamental machine learning questions and then a deep dive into RAG system components.
Walk me through a recent technical project you have worked on.
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