Standard hiring process:
Difficulty is hard to gauge. I have enough ML industry experience to navigate the questions with some initial answers based on projects I led in the past. There were a couple of hard questions around MLOps.
(Coding) Write an API and data structure for a specific use case. How would you test it? What's the complexity of the different operations?
What's your experience with feature engineering? In hindsight, how would you do it differently and why?
What's your experience interacting with product teams or managers?
The following metrics were computed from 1 interview experience for the Affinity Staff Machine Learning Engineer role in United States.
Affinity's interview process for their Staff Machine Learning Engineer roles in the United States is incredibly easy as the vast majority of engineers get an offer after going through it.
Candidates reported having very good feelings for Affinity's Staff Machine Learning Engineer interview process in United States.