Process
Online Assessment — The first round of interviews is scheduled to include both coding and machine learning problems.
Overall, the process appears to follow a fairly standard interview procedure, beginning with technical assessment before moving into later-stage evaluations.
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Interview Statistics
The following metrics were computed from 13 interview experiences for the Stripe Machine Learning Engineer role.
Success Rate
0%
Pass Rate
Stripe's interview process for their Machine Learning Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive31%
Neutral23%
Negative46%
Candidates reported having negative feelings for Stripe's Machine Learning Engineer interview process.
Stripe Work Experiences
5.0
Great place to work
Machine Learning Engineer • Former Employee
San Francisco, California, United States
October 13, 2021
Pros: • Smart and motivated colleagues
• Fantastic benefits (perks, food, pay, equity)
• Great work-life balance
Cons: Most of the challenge of working at Stripe comes from the fact that it is growing very quickly. The company is perpetually playing catch-up in its policies, etc.
5.0
Great Pay, Good People, Big Tech Bureaucracy
Machine Learning Engineer • Current Employee
New York, New York, United States
June 11, 2025
Pros: Good pay, work-life balance, nice people.
Cons: Bureaucracy, as with all big tech.
3.0
Be careful of culture fit
Machine Learning Engineer • Current Employee
July 11, 2023
Pros: Friendly team members, fast-moving company.
Cons: Cares more about speed than quality of product, expects you to work a lot.
- 5.0Great place to workMachine Learning Engineer • Former EmployeeSan Francisco, California, United StatesOctober 13, 2021Pros: • Smart and motivated colleagues • Fantastic benefits (perks, food, pay, equity) • Great work-life balanceCons: Most of the challenge of working at Stripe comes from the fact that it is growing very quickly. The company is perpetually playing catch-up in its policies, etc.
- 5.0Great Pay, Good People, Big Tech BureaucracyMachine Learning Engineer • Current EmployeeNew York, New York, United StatesJune 11, 2025Pros: Good pay, work-life balance, nice people.Cons: Bureaucracy, as with all big tech.
- 3.0Be careful of culture fitMachine Learning Engineer • Current EmployeeJuly 11, 2023Pros: Friendly team members, fast-moving company.Cons: Cares more about speed than quality of product, expects you to work a lot.
Stripe Interview Questions
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