Google Machine Learning Deployment Engineer interview questions
based on 1 rating - Updated Jan 11, 2018
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Candidates applying for Machine Learning Deployment Engineer roles take an average of 14 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Google overall takes an average of 38 days.
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I applied online. The process took 2 weeks. I interviewed at Google in Oct 2017
Interview
There was a 30 minute round with a basic review of my resume followed by very simple questions about algorithms and LINUX. In the second round, I was disappointed by the interviewer who was a Cloud engineer and seemed to be deviating too much from Machine Learning into other topics which were not a part of the skills requirement and the job description.