Process
The process was smooth and well-run. It started with a recruiter screening, followed by a job fit interview with the hiring manager. The on-site portion included four to five interviews, each lasting about 45 minutes. These interviews covered standard LeetCode problems, job fit, and architectural topics, as one would expect. Overall, it was a really good experience!
Questions
Explain and use the scikit-learn API.
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Interview Statistics
The following metrics were computed from 4 interview experiences for the Zoom Machine Learning Engineer role in United States.
Success Rate
25%
Pass Rate
Zoom's interview process for their Machine Learning Engineer roles in the United States is very selective, failing most engineers who go through it.
Experience Rating
Positive25%
Neutral0%
Negative75%
Candidates reported having very negative feelings for Zoom's Machine Learning Engineer interview process in United States.
Zoom Work Experiences
3.0
Not sure where the company is heading. Wasted potential
Machine Learning Engineer • Former Employee
San Jose, California, United States
February 16, 2024
Pros: - You get paid, and there's work to be done.
- Decent WLB, but that also depends on your team.
Cons: - Hypocritical management and CEO.
- Tries to copy everything Microsoft does with very poor execution.
- Throws AI at everything without a clear mission.
- Salary increments and bonus cuts in the last few years despite large amounts of cash in the bank.
3.0
Mediocre leadership with wasted potential
Machine Learning Engineer • Current Employee
Hangzhou, Zhejiang, China
February 22, 2025
Pros: Company financials are good, at least for now.
Cons: Leadership has grand visions but is poor at executing them, then pushes the blame to the engineers.
Product design and implementation can be messy and frustrating.
5.0
Great Company Doing Great Work
Machine Learning Engineer • Current Employee
March 18, 2021
Pros: Opportunity to work on a platform that is vitally important to millions of people on a daily basis.
Solid base.
Good equity package.
Amazing parental leave!!! Just got upped to 16 weeks.
Tons of fridge benefits:
* $200 yearly to spend on the company store
* $300 reimbursement for food and exercise equipment during the pandemic
Cons: In engineering, many teams are split between the US and China, which can lead to late meetings and different work styles.
In many respects, the company still has a startup vibe. It seems they are just now starting to solidify many HR and enterprise functions. This also means there isn’t a very well-set engineering culture (but many very smart people in engineering doing great things).
No 401k match.
- 3.0Not sure where the company is heading. Wasted potentialMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesFebruary 16, 2024Pros: - You get paid, and there's work to be done. - Decent WLB, but that also depends on your team.Cons: - Hypocritical management and CEO. - Tries to copy everything Microsoft does with very poor execution. - Throws AI at everything without a clear mission. - Salary increments and bonus cuts in the last few years despite large amounts of cash in the bank.
- 3.0Mediocre leadership with wasted potentialMachine Learning Engineer • Current EmployeeHangzhou, Zhejiang, ChinaFebruary 22, 2025Pros: Company financials are good, at least for now.Cons: Leadership has grand visions but is poor at executing them, then pushes the blame to the engineers. Product design and implementation can be messy and frustrating.
- 5.0Great Company Doing Great WorkMachine Learning Engineer • Current EmployeeMarch 18, 2021Pros: Opportunity to work on a platform that is vitally important to millions of people on a daily basis. Solid base. Good equity package. Amazing parental leave!!! Just got upped to 16 weeks. Tons of fridge benefits: * $200 yearly to spend on the company store * $300 reimbursement for food and exercise equipment during the pandemicCons: In engineering, many teams are split between the US and China, which can lead to late meetings and different work styles. In many respects, the company still has a startup vibe. It seems they are just now starting to solidify many HR and enterprise functions. This also means there isn’t a very well-set engineering culture (but many very smart people in engineering doing great things). No 401k match.
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