I applied through college or university. The process took 4 weeks. I interviewed at Google (Montreal, QC)
Interview
A video call, where they ask some math and coding questions. Usually they ask to explain a fundamental concept of ML, and the you have to implement it. Little by little complexity will be added to the problem,
I applied through an employee referral. I interviewed at Google
Interview
Initially got contacted by a researcher and sent application documents to a recruiter. They set up an interview to talk about my previous research experience. Overall, the process was smooth.
Interview questions [1]
Question 1
Questions about my previous research publications/projects, focusing on my skill set.
One research interview, questions about language models, discuss different architectural modifications, their advantages and trade offs they present. If you’ve done work on language model architectures, should be easy. Didn’t ask any math or super in depth questions just superficial deep learning research stuff
Interview questions [1]
Question 1
What’s the difference between LSTM and transformer. Is there any use case for LSTMs now as we have transformers everywhere?
