Machine Learning Engineer Interview Experience - Singapore, Singapore
Process
Application
The recruiter contacted me through LinkedIn. The recruiter clearly explained the role and responsibilities.
After that, I interviewed at Zoom Video Communications (Singapore) in May 2021 for a Machine Learning position.
Interview
The interview team was very professional and kind. The interviewers knew my background well and asked several questions regarding the projects I had been working on. At the same time, they were open about the ML work at Zoom.
The recruiter was very kind and rescheduled one of my interviews at the very last moment due to my personal issue. They clearly explained each interview round's expectations and provided feedback during the process.
Questions
Interview rounds based on machine learning and algo coding:
- Questions related to machine learning theory and projects.
- Algorithm coding questions (variants of LeetCode problems).
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Interview Statistics
The following metrics were computed from 1 interview experience for the Zoom Machine Learning Engineer role in Singapore, Singapore.
Success Rate
Zoom's interview process for their Machine Learning Engineer roles in Singapore, Singapore is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Candidates reported having very good feelings for Zoom's Machine Learning Engineer interview process in Singapore, Singapore.
Zoom Work Experiences
- 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.
- 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.
- 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.
