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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."
8,221 machine learning interview questions shared by candidates
Questions about experience. Like with which technologies I worked, what am I prod of, which challenges I had etc.
LLM Transformer architecture & Self-attention mechanism
Explain a machine learning model you productionized?
Leetcode problems (2 easy, 2 medium, 1 hard)
The technical challenge involved implementing an optimization algorithm based on the real-world problems they need to solve.
ML theory, coding, system design, ML system design. If you've got ml background, just review theory a and systems design a bit if needed. Study coding from the usual codign interview resources so that you bring your A game.
“Would you be ok if we reschedule?” - something a normal person would ask instead
- Building a tokenizer - Given a set of items, create pairs given certain conditions.
1. First round was a 15 min talk with the HR 2. 2nd round you talk with the team lead 3. A home assignment which says should take 2-3 hours but it took almost a whole day. It has nothing to do with the job you would do since they don't know what exactly you would be doing. So it was very generic. 4. Discussion about the home assignment and some coding/puzzle.
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