general questions and contact later for technical interview
Senior Machine Learning Engineer Interview Questions
621 senior machine learning engineer interview questions shared by candidates
collab filtering, ML, previous experience
Questions from LLM, cloud, git, ML. I don't know they know what they are looking for.
Given a three sided dice with the probabilities p(1)=0.2, p(2)=0.3, p(3)=0.5. What is the expected value?
I really like their technical phone interview format -- instead of asking CS Algo questions, they asked me to 1) refactor an existing implementation, 2) add new feature, and 3) test new feature. It felt very much like real world engineering task. For the onsite, there were 1) background deep dive 2) culture fit 3) system design
Usual Assumptions of Linear Regression
Write a formula for cross enthropy loss.
In the coding round, they gave you a scenario and let you pick a language to solve the problem. You choose your own IDE. The algorithm used is not hard but the scenario is a little mess and there are edge cases you need to find by yourself. In ML round, they just gave you a problem in 1-2 sentences, and you need to lead the conversation to solve the problem. It's open-ended and like the case study in DS interview, which does not require you to explain how to implement.
How do you deploy a model to the edge/cloud?
Questions were straightforward and related to my research.
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