Taro Logo

Machine Learning Engineer Interview Experience - Toronto, Canada

June 13, 2022
Positive ExperienceNo Offer

Process

I applied through a recruiter. The process took three weeks.

  • Contacted by a Xero recruiter.
  • Initial phone call with the recruiter.
  • Second interview: a casual meeting with the team lead. There were no technical questions. It was just to see if there was a good personality fit and that my experience might be a good fit.
  • Third interview: presenting an end-to-end diagram I made of a software system I am familiar with. The questions were of a DevOps/SRE nature. They are working in a very large and well-developed pipeline, and I felt I was not able to adequately answer some of their pipeline-related questions.

About a week later, the recruiter called to let me know they were moving forward with another candidate.

Questions

Diagram the architecture of a software system you are familiar with. Follow-up questions relate to reliability, monitoring, fault tolerance, and other topics.

Was this helpful?

Interview Statistics

The following metrics were computed from 1 interview experience for the Xero Machine Learning Engineer role in Toronto, Ontario.

Success Rate

0%
Pass Rate

Xero's interview process for their Machine Learning Engineer roles in Toronto, Ontario is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%
Neutral0%
Negative0%

Candidates reported having very good feelings for Xero's Machine Learning Engineer interview process in Toronto, Ontario.