Process
Typical LeetCode-style questions, a general ML breadth round, and a hiring manager call.
An additional round is required if more data points are needed; otherwise, it's a fairly smooth process with nice recruiters and employees.
Questions
LC medium, i.e., valid Sudoku.
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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
14%
Pass 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
Positive71%
Neutral14%
Negative14%
Candidates reported having very good feelings for Amazon's Machine Learning Engineer interview process in United States.
Amazon Work Experiences
5.0
Skills Grow, Friendly Place
Machine Learning Engineer • Current Employee
Bengaluru, Karnataka, India
October 16, 2020
Pros: It leads to the development of your skills and a friendly environment.
Cons: As with any company in the world, there are cons.
5.0
Machine Learning Engineer
Machine Learning Engineer • Current Employee
Montreal, Quebec, Canada
August 9, 2016
Pros: Great work environment and team spirit. I learned from top software developers.
Cons: Things move very fast, and you may need to understand new features that have not been documented yet. The good thing, though, is that everyone is happy to help others.
3.0
Good Start, Rocky Wlb
Machine Learning Engineer • Current Employee
London, England, United Kingdom
August 15, 2024
Pros: It was nice to start my career.
Cons: Work-life balance, pay, and re-organizations. It largely depends on which team you land on.
- 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.
- 5.0Machine Learning EngineerMachine Learning Engineer • Current EmployeeMontreal, Quebec, CanadaAugust 9, 2016Pros: Great work environment and team spirit. I learned from top software developers.Cons: Things move very fast, and you may need to understand new features that have not been documented yet. The good thing, though, is that everyone is happy to help others.
- 3.0Good Start, Rocky WlbMachine Learning Engineer • Current EmployeeLondon, England, United KingdomAugust 15, 2024Pros: It was nice to start my career.Cons: Work-life balance, pay, and re-organizations. It largely depends on which team you land on.
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