It is very human-centric. The technical questions are very theory-based and research-driven. A good math foundation and good intuition are required, along with the ability to understand data, derive insights, and come up with potential analysis and processes.
I was shown a group of data and asked to perform tasks.
The following metrics were computed from 1 interview experience for the Xero ML Engineer role in Toronto, Ontario.
Xero's interview process for their ML Engineer roles in Toronto, Ontario is incredibly easy as the vast majority of engineers get an offer after going through it.
Candidates reported having very good feelings for Xero's ML Engineer interview process in Toronto, Ontario.