Implement the forward and backward pass of a custom function to enable back-propagation.
Machine Learning Engineer Interview Questions
6,166 machine learning engineer interview questions shared by candidates
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.
1. Explain the E2E architecture of a multi-agent system that you have built? 2. Explain how BERT works? 3. How do you evaluate RAG system?
1. Active Learning 2. Deep Neural Network Architectures 3. Temporal analysis 4. Trajectory, path planning. 5. Other basic machine learning question
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