Machine Learning and Relevance Engineering Interview Experience - New York, New York
Process
The interview process consists of:
- Recruiter Phone Interview
- Technical Phone Interview
- Onsite Interview
The first interview is about basic questions on projects and skills. They ask certain questions regarding LinkedIn.
The second interview is a one-hour technical interview where they ask coding and Machine Learning questions for this position.
Questions
Implement Naive Bayes theorem in Java.
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Interview Statistics
The following metrics were computed from 1 interview experience for the LinkedIn Machine Learning and Relevance Engineering role in New York, New York.
Success Rate
LinkedIn's interview process for their Machine Learning and Relevance Engineering roles in New York, New York is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for LinkedIn's Machine Learning and Relevance Engineering interview process in New York, New York.
LinkedIn Work Experiences
- 3.0Great Pay, Needs More TimeSoftware Engineer • Former EmployeeNew York, New York, United StatesMarch 4, 2021Pros: Great salary and lots of perks.Cons: Not enough time off for vacation.
- 3.0Not as good as before: more politics, less room to growSenior Software Engineer • Current EmployeeNew York, New York, United StatesJanuary 3, 2025Pros: Good team culture, good benefits, and smart co-workers. Near top-tier salary.Cons: Lots of politics and unnecessary reorgs. Getting a promotion and a high review is harder, and there is less room to grow. Very low refresher.
- 2.0It's a solid companySenior Engineer • Current EmployeeNew York, New York, United StatesMay 30, 2021Pros: Good team, good people, good office, good tasks.Cons: It feels like it's hard to grow, and they have hired too many engineers.
LinkedIn Interview Questions
