Machine Learning Engineer Interview Experience - French Polynesia
December 10, 2020
Neutral ExperienceNo Offer
Process
The first part of the interview process is a call with HR. Then, they send a take-home exam about machine learning with a two-week deadline. Finally, there's an interview about machine learning and the basics of Python.
Questions
What is regularization and what are its benefits/cons?
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Interview Statistics
The following metrics were computed from 1 interview experience for the Scale AI Machine Learning Engineer role in French Polynesia.
Success Rate
0%
Pass Rate
Scale AI's interview process for their Machine Learning Engineer roles in French Polynesia is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Scale AI's Machine Learning Engineer interview process in French Polynesia.
Scale AI Work Experiences
5.0
High-Achieving Place with Great People!
Machine Learning Engineer • Current Employee
San Francisco, CA
September 13, 2022
Pros: - Insanely smart people
- Great career trajectories
- Company growth that is out of this world
- Inspiring CEO
- Friendly culture
Cons: Not many people do work hard, but it is worth it.
2.0
Gigantic Annotation Pipeline
Machine Learning Engineer • Current Employee
San Francisco, CA
June 25, 2025
Pros: Work with frontier labs
* Fast growing environment
* Potential fast career growth
Cons: Possible shipwreck due to Meta’s acquisition
5.0
Amazing ML Team
Senior Machine Learning Engineer • Current Employee
Washington, DC
September 28, 2022
Pros: Highly qualified ML team with many products that are exploding in growth, and interesting research.
Cons: Sometimes it can be a lot of work - especially for people who are highly qualified, but that's to be expected at a smart company.
- 5.0High-Achieving Place with Great People!Machine Learning Engineer • Current EmployeeSan Francisco, CASeptember 13, 2022Pros: - Insanely smart people - Great career trajectories - Company growth that is out of this world - Inspiring CEO - Friendly cultureCons: Not many people do work hard, but it is worth it.
- 2.0Gigantic Annotation PipelineMachine Learning Engineer • Current EmployeeSan Francisco, CAJune 25, 2025Pros: Work with frontier labs * Fast growing environment * Potential fast career growthCons: Possible shipwreck due to Meta’s acquisition
- 5.0Amazing ML TeamSenior Machine Learning Engineer • Current EmployeeWashington, DCSeptember 28, 2022Pros: Highly qualified ML team with many products that are exploding in growth, and interesting research.Cons: Sometimes it can be a lot of work - especially for people who are highly qualified, but that's to be expected at a smart company.
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