Process
I was contacted by a recruiter via email.
We set up a phone call to discuss my interests.
After that, I had two back-to-back technical interviews:
- One focused on data mining with a data scientist.
- The other was based on algorithms and data structures.
Questions
Data Mining: Given a function that returns 0 with probability p and 1 with probability (1-p), create a function that returns 1 and 0 with 0.5 probability each.
DS/A: Given two sorted lists, create functions that would perform a set union and set intersection on the lists.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the LinkedIn Machine Learning role in United States.
Success Rate
LinkedIn's interview process for their Machine Learning roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very good feelings for LinkedIn's Machine Learning interview process in United States.
LinkedIn Work Experiences
- 5.0Good work-life balance with some experimental requirementsMachine Learning Engineer • Current EmployeeMountain View, CAAugust 19, 2026Pros: There is a good work-life balance and autonomy to own work.Cons: Not much, but it can at times require a lot of proof to do experiments.
- 3.0Not good as beforeStaff Software Engineer • Current EmployeeSunnyvale, California, United StatesNovember 24, 2024Pros: Good work-life balance, good food, and perks.Cons: Sinking ships, not a good place to improve your tech. Moving too slow, the refresh is a joke.
- 4.0multiple years at LinkedInSRE Manager • Current EmployeeBengaluru, Karnataka, IndiaAugust 11, 2020Pros: Its culture and value Exec trust and transparency Pay and BenefitsCons: Starting to get Political Biased promos at higher levels.
LinkedIn Interview Questions
