ML at ServiceNow
ML at ServiceNow
- Compensation - good.
- Work and life balance - good.
- ML work: At least in GCS, 20%.
- Mostly enabling the solution with an already existing pipeline.
Additional Ratings
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ServiceNow Interview Questions
ServiceNow Interview Experiences
Senior Machine Learning Engineer
Worst interview experience. The person who joined to take my interview didn't even ask anything about me and directly went ahead and asked for a Python coding question. Not a single question on Machine Learning, NLP, or Gen AI. Common man, I have 7
Senior Machine Learning Engineer
Programming assignment + 3 technical rounds + 1/2 managerial rounds. All rounds were online. Round 1: DS/Algos + Machine Learning. Lasted for 75 minutes. Taken by a Staff ML Engineer. Programming Assignment: The assignment involved concepts of bot
Senior Machine Learning Engineer
The interview process was extremely unprofessional from start to finish. The recruiter ghosted me on the day of my interview, and then the director never showed up. The hiring manager was extremely unprofessional, asked vague questions, and then be
Senior Machine Learning Engineer
Hyderābād, Telangana, IndiaJuly 1, 2025Worst interview experience. The person who joined to take my interview didn't even ask anything about me and directly went ahead and asked for a Python coding question. Not a single question on Machine Learning, NLP, or Gen AI. Common man, I have 7
Senior Machine Learning Engineer
Hyderābād, Telangana, IndiaOctober 1, 2020Programming assignment + 3 technical rounds + 1/2 managerial rounds. All rounds were online. Round 1: DS/Algos + Machine Learning. Lasted for 75 minutes. Taken by a Staff ML Engineer. Programming Assignment: The assignment involved concepts of bot
Senior Machine Learning Engineer
San Diego, California, United StatesDecember 1, 2024The interview process was extremely unprofessional from start to finish. The recruiter ghosted me on the day of my interview, and then the director never showed up. The hiring manager was extremely unprofessional, asked vague questions, and then be
