Machine Learning Scientist Interview Experience - United States
October 12, 2023
Negative ExperienceNo Offer
Process
Call with a recruiter, followed by a technical interview.
The technical interview covered broad Machine Learning questions, then the coding part.
The problem required prior knowledge of a calculus theorem, which, in my opinion, was not fair.
Questions
Broad ML questions + 1 coding question
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Interview Statistics
The following metrics were computed from 1 interview experience for the Amazon Machine Learning Scientist role in United States.
Success Rate
0%
Pass Rate
Amazon's interview process for their Machine Learning Scientist roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral0%
Negative100%
Candidates reported having very negative feelings for Amazon's Machine Learning Scientist interview process in United States.
Amazon Work Experiences
3.0
Frugal employee benefits, meeting overhead
Machine Learning Scientist • Current Employee
Seattle, Washington, United States
August 6, 2025
Pros: Still lots of smart people.
Cons: Frugal employee benefits, meeting overhead.
4.0
Brilliant people, good pay, stressful, and confusing
Machine Learning Scientist • Former Employee
Cambridge, Massachusetts, United States
July 10, 2023
Pros: I worked within the Natural Language Understanding group at Alexa. The pay was great, and I got to work with really great people.
Cons: The problem space was extremely ambiguous, and sometimes it felt like we were just throwing lots of things at the wall to see what would stick.
5.0
Great place to work
Machine Learning Scientist • Former Employee
San Diego, California, United States
April 4, 2023
Pros: - Excellent culture
- Good salary
- Access to good computational resources
Cons: - Innovation and adaptation of newer ML methods can be slow.
- Mentoring can be lacking, i.e., a lack of advice for how to produce a deliverable while pivoting a research-oriented project.
- 3.0Frugal employee benefits, meeting overheadMachine Learning Scientist • Current EmployeeSeattle, Washington, United StatesAugust 6, 2025Pros: Still lots of smart people.Cons: Frugal employee benefits, meeting overhead.
- 4.0Brilliant people, good pay, stressful, and confusingMachine Learning Scientist • Former EmployeeCambridge, Massachusetts, United StatesJuly 10, 2023Pros: I worked within the Natural Language Understanding group at Alexa. The pay was great, and I got to work with really great people.Cons: The problem space was extremely ambiguous, and sometimes it felt like we were just throwing lots of things at the wall to see what would stick.
- 5.0Great place to workMachine Learning Scientist • Former EmployeeSan Diego, California, United StatesApril 4, 2023Pros: - Excellent culture - Good salary - Access to good computational resourcesCons: - Innovation and adaptation of newer ML methods can be slow. - Mentoring can be lacking, i.e., a lack of advice for how to produce a deliverable while pivoting a research-oriented project.
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