Process
The interview included an ML quiz, DSA coding, background experience, and finally, a behavioral section assessing alignment with 14 leadership principles. It was fun, but also daunting, as the ML quiz was more difficult to navigate, with deep questions regarding SVM and batched training.
Questions
What different loss functions do you know?
How do you measure the performance of computer vision models?
Design an AWS distributed system to do sharding of datasets.
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Interview Statistics
The following metrics were computed from 14 interview experiences for the Amazon Machine Learning Engineer role in United States.
Success Rate
Amazon'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 very good feelings for Amazon's Machine Learning Engineer interview process in United States.
Amazon Work Experiences
- 5.0Skills Grow, Friendly PlaceMachine Learning Engineer • Current EmployeeBengaluru, Karnataka, IndiaOctober 16, 2020Pros: It leads to the development of your skills and a friendly environment.Cons: As with any company in the world, there are cons.
- 3.0Not bad, not greatMachine Learning Engineer • Former EmployeeOctober 9, 2023Pros: Good tech stack, etc., etc.Cons: Tons of stress, etc., etc.
- 4.0Good Pay, Hard WorkMachine Learning Engineer • Former EmployeeNew York, New York, United StatesOctober 12, 2023Pros: Good pay. The direct team was also great to work with.Cons: Can be a lot of work.
Amazon Interview Questions
