Process
I recruited and set up a proctored online assessment. I raised concerns about privacy, specifically regarding being recorded on video, showing my ID to the camera, and having my screen recorded.
She condescendingly downplayed my concerns, essentially gaslighting me, and did not make any adjustments.
Questions
Proctored online assessment.
Everything is recorded:
- You on camera
- Showing your ID
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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
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.
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
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.
- 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.
- 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.
- 4.0Decent 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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