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Machine Learning Engineer Interview Questions
6,166 machine learning engineer interview questions shared by candidates
Simulate the movement of a bike that can accelerate and steer.
Implement the forward and backward pass of a custom function to enable back-propagation.
What does "back propogation" mean?
Machine Learning Algorithms-related questions. Project-based Questions.
You want to scale an LLM from staging with 3 testers to productions with up to 10 requests per seconds, describe the steps you need to follow to ensure a smooth release.
I was asked to discuss some LLM projects I had worked on, exploring the technical aspects and including one or two theoretical questions.
How would I approach one case
A large part of the interview focused on my PhD thesis. After I explained my research at the beginning, the interviewers asked in-depth questions to assess how well I understood my own work. Later, they asked machine-learning–related questions relevant to the role, including hypothetical scenarios about how I would approach and analyze a given type of data etc.
Some fundamental machine learning questions and then a deep dive into RAG system components.
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