After two phone calls and one hiring manager Zoom meeting, I entered five or six different technical interviews.
All interviews covered almost the same concepts, except for one which was a design question. Generally, they focused on ML, NLP, and programming.
Each interview presented different programming questions, and any programming language could be used for solutions. These programming questions were of easy to medium/hard difficulty, involving data structures, string manipulation, or OOP design. ML/Data Science questions were intermediate to advanced.
However, the interviews primarily focused on programming questions, making up approximately 70% programming and 30% ML/Data Science.
Explain LSTMs and why they are used. What are the advantages and disadvantages when you compare them to other architectures? And some follow-up questions about them.
Mention your current/previous job. What were your duties, etc.?
The following metrics were computed from 2 interview experiences for the ServiceNow Machine Learning Engineer role in United States.
ServiceNow's interview process for their Machine Learning Engineer roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Candidates reported having very good feelings for ServiceNow's Machine Learning Engineer interview process in United States.