Capital One interview questions

1) CodeSignal. 2) first round informal discussion with researcher 3) final loop: coding (leetcode medium), ML/DL round, business case study, behavioral and presentation (w/two researchers). Business case study is quite easy . ML/DL round was a bit weird and non-standard in terms of questions. Interview overall was not too hard but I met multiple times with an interviewer who was pretty rude and dismissive of other people's work (even if published in top conferences). Told I was rejected because I didn't have experience in things I have experience in.

The Capital One Lead AI Engineer interview process is a highly structured, 4-stage evaluation designed to test both technical depth and business acumen. It begins with an initial recruiter screening call and a specialized online coding assessment focusing on data structures, algorithms, and SQL.Following a hiring manager technical deep-dive, candidates move to the final "Power Day." This intensive loop consists of four distinct, back-to-back panels: a machine learning coding round, an end-to-end AI/ML system design session, a business case study, and a behavioral leadership evaluation.The entire process is heavily standardized, testing your ability to deploy scalable AI systems under strict financial regulations.