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Senior Machine Learning Engineer Interview Questions
620 senior machine learning engineer interview questions shared by candidates
Ask about Transformer, RAG workflows, Vector Database, and LLM based questions and Scenarios. Ask about my projects, Academic and Professional Background.
embedding, recent advances for transformers, cross-attentions etc
Worked through some personalization examples
How would you solve data quality issue in finance sector .
Went over details, let me choose favorite project. Asked about evaluation of results in depth. Asked my preferred style of working.
Questions about C++ regarding assembly understanding.
There're three programming questions (with few details about pretended results) where I develop Python scripts importing the NumPy library. The remaining one is more theoretical implying a code explanation. All of them are related to the Computer Vision field.
Core concepts about machine learning. Deep dive into previous ML-related projects and experiences
Most interviews were technical. First interview was high-level algorithmic question about designing an algo to find closest point in 2D map with limited informations, and to reason on the complexity of the algo I come up with.
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