- They ask you to code an ML algorithm - The system design questions are relevant to their challenges and real problems they needed to solve.
Machine Learning Research Interview Questions
1,840 machine learning research interview questions shared by candidates
Code signal questions/ leet code easy and medium questions
Could talk about projects related to AI/ML you did? Could explain about Agent AI projects you developed? Questions about architecture of Generative AI
How many years of experience do you have in [x] technology?
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?
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