Machine Learning Engineer Interview Experience - San Francisco, California
October 1, 2024
Positive ExperienceNo Offer
Process
The first round was a coding round, with 4 problems on CodeSignal. This test is proctored and requires a camera. Reference materials can be used, but code cannot be copied (for obvious reasons).
Skills tested:
- Coding Fundamentals
- Data Manipulation
- Implementation Efficiency
- Problem Solving
Questions
A question for load balancing nodes.
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Uber Machine Learning Engineer role in San Francisco, California.
Success Rate
0%
Pass Rate
Uber's interview process for their Machine Learning Engineer roles in San Francisco, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive67%
Neutral0%
Negative33%
Candidates reported having very good feelings for Uber's Machine Learning Engineer interview process in San Francisco, California.
Uber Work Experiences
5.0
Growth Good, Management Shaky
Machine Learning Engineer • Current Employee
San Francisco, California, United States
November 5, 2024
Pros: Takes care of career growth.
Transparent Growth Trajectory.
Helpful people.
Cons: Management unstable.
Frequent change in long-term goals.
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
Positive Experience as ML Engineer
Machine Learning Engineer • Current Employee
Sunnyvale, California, United States
September 27, 2025
Pros: Fast-paced project workflow and freedom to experiment with various approaches.
Cons: Too much involvement from operations.
- 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.
- 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.
- 4.0Positive Experience as ML EngineerMachine Learning Engineer • Current EmployeeSunnyvale, California, United StatesSeptember 27, 2025Pros: Fast-paced project workflow and freedom to experiment with various approaches.Cons: Too much involvement from operations.
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