Process
Poor. They told me one of the interviews would be DSA and asked me ML questions. There were also scheduling issues on their part. The interviewers were generally nice, however.
Questions
Implementing basic ML algorithms from scratch.
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Interview Statistics
The following metrics were computed from 13 interview experiences for the Uber Machine Learning Engineer role in United States.
Success Rate
0%
Pass Rate
Uber's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive38%
Neutral8%
Negative54%
Candidates reported having negative feelings for Uber's Machine Learning Engineer interview process in United States.
Uber Work Experiences
5.0
A great place to work, innovate, and have impact
Machine Learning Engineer • Former Employee
Seattle, Washington, United States
April 24, 2025
Pros: Dynamic and friendly team.
Open to innovation and new ideas.
Possible to see your impact in the product.
Cons: Experiences might change depending on the team and manager, but I had a great team and I learned a lot.
4.0
Ambient Work Culture
Machine Learning Engineer • Current Employee
Gurgaon, Haryana, India
December 14, 2023
Pros: Great to work with some genius minds.
Cons: Not much, it's not that bad.
4.0
Decent Pay, Team Culture Varies
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
April 24, 2025
Pros: Good compensation, workload is reasonable, support for temporary remote work. No large layoffs after COVID.
Cons: Culture depends on the team. Start to have a pip policy.
- 5.0A great place to work, innovate, and have impactMachine Learning Engineer • Former EmployeeSeattle, Washington, United StatesApril 24, 2025Pros: Dynamic and friendly team. Open to innovation and new ideas. Possible to see your impact in the product.Cons: Experiences might change depending on the team and manager, but I had a great team and I learned a lot.
- 4.0Ambient Work CultureMachine Learning Engineer • Current EmployeeGurgaon, Haryana, IndiaDecember 14, 2023Pros: Great to work with some genius minds.Cons: Not much, it's not that bad.
- 4.0Decent Pay, Team Culture VariesMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesApril 24, 2025Pros: Good compensation, workload is reasonable, support for temporary remote work. No large layoffs after COVID.Cons: Culture depends on the team. Start to have a pip policy.
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