Machine Learning Engineer Interview Experience - San Francisco, California
Process
Applied online.
HR contacted with basic screening questions related to visa, location, and availability.
The recruiter then scheduled a coding round video interview with a senior engineer via CodeSignal.
Questions
I had to design the class and construct the function to convert the matrix to a tree in 60 minutes. It was quite difficult if you don't know the concept of quadtrees.
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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
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
Candidates reported having very good feelings for Uber's Machine Learning Engineer interview process in San Francisco, California.
Uber Work Experiences
- 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.
- 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.
Uber Interview Questions
