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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."
8,208 machine learning interview questions shared by candidates
Tell us about a previous ML project
In system design, for an LLM-based service, how to handle the case of a provider going down
Data Structures Round: They asked stock price fluctuation from Leetcode with a little twist in the question. The focus is on what Data Structure I choose, their trade offs and Time complexity. The code should be executable along with Unit tests in 60 mins. I had a Java Developer interviewing me, I did my solution in python. The interviewers will give hints through out the interview, thus felt like a brain storming session. The difficulty of the MLE interview is equal for an SDE role
How you test your ML models for production scale?
Generic problem solving technical interview questions (e.g., solve this graph question using recursion, how would you parse/edit this string with least data usage, etc.)
Why do you want to apply to facebook?
Standard medium or hard Leetcode questions
Where do you like best?
Explained in the text above.
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