3 rounds, 1 case interview, 1 fundamentals and 1 SQL interview. The case interview was extremely technical and the fundamentals interview didn't cover my resume at all. Overall it was quite difficult, and the fundamentals interview prep sheet was not helpful at all
Interview questions [1]
Question 1
Q1: what are the assumptions of linear regression
Q2: would a random forest overestimate or underestimate revenue compared to a ARIMA model when forecasting average revenue
The interview questions includes from ML concepts to python design, which is harder than I expected. But can use SQL as well. You can choose what you want to use.
I applied through an employee referral. I interviewed at Databricks
Interview
Recruiter call, 30 min HM interview, 45 min technical call, take home assignment (GenAI focused project), then multi-hour virtual onsite covering ML engineering, ML technical fundamentals, statistics, and behavioral questions/career aspirations. Did not advance past the technical call
Interview questions [1]
Question 1
Explain the transformer architecture and how it is different than other autoregressive models
