Two rounds with Leetcode questions. 3 rounds with ML/NLP-related questions.
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."
8,212 machine learning interview questions shared by candidates
How I would implement a ML feature on apple devices
how to predict user intent in typing regarding the songs, albums, artists? how to maintain scalability, reliability and availability of the system with respect to the user traffic?
One key question focused on how my skills and past experiences would add value to their team.
Ensemble models, boosting e XGBoost
1. Finding unique lands in 2D metrics of 0 & 1
What have you learnt from your past project?
RAG, Agentic AI, Medium Leetcode, Behavior
The interview focused on ML fundamentals and evaluation metrics. We also went through a practical case related to face analysis and image generation
There were some algorithmic questions (basically they describe a case where you need to do a complicated search over large datasets, I solved the problem via KD-trees, which the reviewer seemed to like, but they ended up implementing a giant hash instead).
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