Met with Hiring Recruiter.
Interviewed with the lead architect who was clearly not a software engineer, but more of a DevOps engineer. He interviewed me as if I were applying for a DevOps role.
The questions didn't apply to an ML Engineer at all. One question was a vocabulary test and didn't align with industry common terms.
System design had nothing to do with a real-world scenario.
The code question was a difficult medium on LeetCode.
In my opinion, they are trying to be something they are not. To get through the interview process, one would need to study just like for a FAANG interview, with a focus on DevOps. Except, if one was going to prepare that hard, wouldn't they go work at a FAANG company?
Seems unrealistic to me, but power to them for trying to be elite.
Design a system that mines logs for billions of emails that didn't go out when the issue was sporadic.
The following metrics were computed from 2 interview experiences for the Wayfair Senior Machine Learning Engineer role in United States.
Wayfair's interview process for their Senior Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Candidates reported having very negative feelings for Wayfair's Senior Machine Learning Engineer interview process in United States.