For the take home exercise, they send you a problem where you have to build a model to solve it. For the interview they ask you specific deep learning questions as well as plotting and analyzing probability distributions.
Machine Learning Engineer Interview Questions
6,179 machine learning engineer interview questions shared by candidates
I was asked about my previous experience with Machine Learning
The Take home assignment is about rotated object detection.
Tell us about your experience ?
Q: How can you implement this? Q: How can ML help us in this case?
Take home assignment about ML
Questions about academic/professional path, salary expectations, etc. "Explain the bias variance trade-off" "What's the difference between L1 and L2 regularisation" "Explain gradient decent (GD). Why do we use Stochastic gradient decent (SGD) instead of GD. Mention some other variants of optimisers." "Describe a ML system. What are the different components that go into it?" "Suppose you are asked to deploy a model as a micro-service. What are the various components you need to think about when designing the service. Give a generic explanation for each component and one particular instantiation using one or more technology." "What are Directed Acyclic Graphs (DAG)?" "What should be a leader?" "What are your strengths and your weaknesses?" "What motivates you to wake up everyday?"
Leet code - Top k frequent items ML system design
what was your research project about? what are some of the transformers model inference time optimizations?
There were few questions about how I handled various situations in the past and what could be done differently. This shows team pays attention not only to technical knowledge, but also values positive attitude.
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