Process
I had an online Codesignal test with four questions in seventy minutes.
While many companies now ask medium-level LeetCode questions for their ML screens, this one was honestly ridiculous. Uber clearly has the engineers to conduct a phone screen; they're just too lazy. This Codesignal test is too random and difficult to reasonably assess someone for an MLE position.
Questions
Rhombus sums Two sum Triplets in array Array problem with greedy / sorting
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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
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
Candidates reported having negative feelings for Uber's Machine Learning Engineer interview process in United States.
Uber Work Experiences
- 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.
- 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.
- 5.0Growth Good, Management ShakyMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesNovember 5, 2024Pros: Takes care of career growth. Transparent Growth Trajectory. Helpful people.Cons: Management unstable. Frequent change in long-term goals.
Uber Interview Questions
