The interview questions were a mix of technical questions (signal processing and machine learning) and behavioural questions (working with cross-functional teams, leadership qualities etc.). Some of the technical questions were very pointed (e.g. write a formula for something), while others were more open-ended and allowed for back and forth engagement with the interviewers. I'm glad I brushed up on my DSP basics the night before the interview :)
Variance of a average of random variables
My technical background and education were asked.
How do you choose between TensorFlow and Pytorch? What about the project on your resume?
They asked a question about Eigendecomposition
explain your projects
What sensors would be most appropriate to use in this certain scenario?
1. Talk about BERT. 2. Data cleaning.
Why did I choose to use this model? How did this model work? Is there anything you would have done to improve a certain project if you were given the chance? How do I tell if a coin is fair?
1. medium leet code questions, and some basic machine learning knowledges 2. 1 medium leet code question. I was also asked to implement linear regression and backpropagation using numpy
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