Machine Learning Engineer Interview Experience - Pitts, Pennsylvania
October 1, 2018
Positive ExperienceNo Offer
Process
1 phone screen and then 5 rounds onsite. Not too difficult, but I was not used to whiteboard coding, so it ended up being messy. The people were very nice and conversational.
Questions
Discussion of semantic segmentation.
Describe Mask R-CNN and YOLO algorithms.
Cross-entropy.
Graph/DFS type problems.
Design an optimizer for any cost function f.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Uber Machine Learning Engineer role in Pitts, Pennsylvania.
Success Rate
0%
Pass Rate
Uber's interview process for their Machine Learning Engineer roles in Pitts, Pennsylvania is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Uber's Machine Learning Engineer interview process in Pitts, Pennsylvania.
Uber Work Experiences
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.
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
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.
- 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.
- 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.
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