First stage: Technical discussion of resume items with data scientists and machine learning engineers. This was decently casual with a lot of interest shown, even in niche topics.
Second stage: An easy LeetCode problem was presented. I was asked to describe my thinking process, with that being the primary focus.
Third stage: I was given "fake" code representing some I/O in a machine learning context. I was also asked to think out loud and was willing to answer questions if needed.
Final stage: Behavioral questions. The interviewer was clearly just reading off a prompt and filling in a summary of my response, with not much conversation or room to elaborate.
They questioned me about my educational background, being in mechanical engineering, not computer science.
The following metrics were computed from 1 interview experience for the Capital One Machine Learning Engineer role in Boston, Massachusetts.
Capital One's interview process for their Machine Learning Engineer roles in Boston, Massachusetts is extremely selective, failing the vast majority of engineers.
Candidates reported having mixed feelings for Capital One's Machine Learning Engineer interview process in Boston, Massachusetts.