Process
Take home and then call with an ML engineer for the second round. The take-home took quite a while to do but was straightforward. I was nervous for the main one, so I didn't pass.
Questions
GitHub repository for the take-home.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Scale AI Machine Learning Engineer role in Oman.
Success Rate
0%
Pass Rate
Scale AI's interview process for their Machine Learning Engineer roles in Oman is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Scale AI's Machine Learning Engineer interview process in Oman.
Scale AI Work Experiences
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
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.
4.0
Good place to grow for a short time period
Software Engineer • Former Employee
Buenos Aires
May 17, 2024
Pros: - A lot of things to do and learn
- A lot of space to grow
Cons: - Management is horrible, and there is a bad culture where a lot of managers don't know how to deal with people.
- Overwork is everywhere, and tired people are a constant.
- Lots of rotation.
- Depending on the assigned project, it's common to face unrealistic deadlines that drive people to crazy amounts of overwork.
- 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
- 5.0High-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.
- 4.0Good place to grow for a short time periodSoftware Engineer • Former EmployeeBuenos AiresMay 17, 2024Pros: - A lot of things to do and learn - A lot of space to growCons: - Management is horrible, and there is a bad culture where a lot of managers don't know how to deal with people. - Overwork is everywhere, and tired people are a constant. - Lots of rotation. - Depending on the assigned project, it's common to face unrealistic deadlines that drive people to crazy amounts of overwork.
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