Machine Learning Engineer Interview Experience - Shanghai, Shanghai
September 1, 2024
Positive ExperienceNo Offer
Process
The interview is around 1 hour and 40 minutes, and there are two engineers hosting the interview for you.
The process goes like this:
- Self-introduction (in Chinese and English)
- Details of the projects listed in your resume (in Chinese or English, as you like)
- Code interview (LeetCode medium, choose any programming language as you like)
- Ask questions you're interested in.
Questions
The original question of LeetCode No. 4.
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Interview Statistics
The following metrics were computed from 1 interview experience for the PayPal Machine Learning Engineer role in Shanghai, Shanghai.
Success Rate
0%
Pass Rate
PayPal's interview process for their Machine Learning Engineer roles in Shanghai, Shanghai is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for PayPal's Machine Learning Engineer interview process in Shanghai, Shanghai.
PayPal Work Experiences
4.0
Pretty good to get a leg in
Machine Learning Engineer • Former Employee
Bengaluru, Karnataka, India
September 1, 2025
Pros: It was one of the first experiences and helped to get connections to other companies. ML work is so-so unless you're in a handful of cream teams.
Cons: The scope of projects is limited.
There are not many chances to apply innovative tech to actual business problems.
3.0
Interesting Work, Bad Leadership
Machine Learning Engineer • Former Employee
San Jose, California, United States
July 17, 2025
Pros: The job can be interesting.
Good colleagues.
Cons: Leadership likes to play games instead of making money for the company.
Good employees leave, and we are left with the worst.
Infra and processes make everything impossible to ship.
4.0
Good work-life balance
Machine Learning Engineer • Former Employee
June 29, 2025
Pros: Flexible working hours. Only deliverables were measured.
Cons: Nothing that I can't think of.
- 4.0Pretty good to get a leg inMachine Learning Engineer • Former EmployeeBengaluru, Karnataka, IndiaSeptember 1, 2025Pros: It was one of the first experiences and helped to get connections to other companies. ML work is so-so unless you're in a handful of cream teams.Cons: The scope of projects is limited. There are not many chances to apply innovative tech to actual business problems.
- 3.0Interesting Work, Bad LeadershipMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesJuly 17, 2025Pros: The job can be interesting. Good colleagues.Cons: Leadership likes to play games instead of making money for the company. Good employees leave, and we are left with the worst. Infra and processes make everything impossible to ship.
- 4.0Good work-life balanceMachine Learning Engineer • Former EmployeeJune 29, 2025Pros: Flexible working hours. Only deliverables were measured.Cons: Nothing that I can't think of.
PayPal Interview Questions
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