Simulate the movement of a bike that can accelerate and steer.
Machine Learning Engineer Interview Questions
6,166 machine learning engineer interview questions shared by candidates
Implement the forward and backward pass of a custom function to enable back-propagation.
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.
What does "back propogation" mean?
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?
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.
How optimization works in an ML model
What is my Greatest strength and weakness
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