Think through a "session prep" tool for clinicians supported by ML
Senior Machine Learning Engineer Interview Questions
614 senior machine learning engineer interview questions shared by candidates
- How to recognize when an object detection model performs well - How to automatically determine the number of clusters in K-means clustering
Did you ever have to develop your own loss function?
- Why would you like to change job? (HR) - What use cases have you worked with? What would you like to do next? Are you familiar with technology x,y,z? (head of ML) - Various questions regarding the assignment. Why did you chose this model, KPI etc.? Explain the KPI to a non-technical audience. Questions around production scenarios. (possible collegues)
general questions and contact later for technical interview
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
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