Senior Machine Learning Engineer Interview Experience - San Diego, California
Process
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 became frustrated because the answers were not in the exact format he wanted.
I was eventually rejected, and only found out because two of my interviewers simply did not show up for my meetings.
After calling and emailing both recruiters to understand what happened, they ignored all calls and emails.
I am left to assume, of course, that I was rejected from this position.
The interview stages included:
- Recruiter screening interview
- Peer interview (general technical screening with a Senior Software Engineer)
- HM interview with a Senior Manager
- Director interview
- Machine Learning technical interview
Questions
What are the benefits of Python?
What are the different data structures in Python?
How do you import a function?
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Interview Statistics
The following metrics were computed from 1 interview experience for the ServiceNow Senior Machine Learning Engineer role in San Diego, California.
Success Rate
ServiceNow's interview process for their Senior Machine Learning Engineer roles in San Diego, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very negative feelings for ServiceNow's Senior Machine Learning Engineer interview process in San Diego, California.
ServiceNow Work Experiences
- 4.0Great Pay, High PressureSenior Machine Learning Engineer • Current EmployeeMontreal, Quebec, CanadaNovember 6, 2025Pros: Strong Compensation & Benefits: Competitive salaries, stock options, and comprehensive benefits packages are frequently cited by employees. Global Presence & Stability: With a strong customer base across Fortune 500 companies, ServiceNow offers stability and international career opportunities. Inclusive Culture: The company emphasizes diversity, equity, and inclusion, with employee resource groups and initiatives to support underrepresented communities.Cons: - High Performance Pressure: As a fast-growing tech company, expectations are demanding. Employees often face tight deadlines and ambitious targets. - Rapid Change: The company evolves quickly, which can be exciting but also overwhelming for those who prefer stability. - Workload & Stress: Some roles, particularly in sales, engineering, and customer success, can involve long hours and high stress.
- 1.0ML at ServiceNowSenior Machine Learning Engineer • Current EmployeeHyderābād, Telangana, IndiaSeptember 8, 2025Pros: 1. Compensation - good. 2. Work and life balance - good.Cons: 1. ML work: At least in GCS, 20%. 2. Mostly enabling the solution with an already existing pipeline.
- 5.0Great company with People Centric valuesSenior Machine Learning Engineer • Current EmployeeSanta Clara, California, United StatesDecember 5, 2024Pros: - Good culture - Transparent leadership - Cutting-edge technology - Good perks and benefitsCons: None I can specifically think of.
ServiceNow Interview Questions
