Machine Learning Researcher Interview Experience
September 21, 2022
Neutral ExperienceNo Offer
Process
I submitted my resume to Scale AI and after a week received a rejection through email. The position wasn't necessarily geared towards new grads and preferred applicants with a PhD or Master's, or at least several published papers in the machine learning field.
Questions
They didn't ask me any questions.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Scale AI Machine Learning Researcher role in United States.
Success Rate
0%
Pass Rate
Scale AI's interview process for their Machine Learning Researcher roles in the United States 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 Researcher interview process in United States.
Scale AI Work Experiences
5.0
Great company
Machine Learning Researcher • Current Employee
October 4, 2021
Pros: - Lots of interesting problems
- Lots of smart people
Cons: A culture of grinding and working hard
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
Great growth, Improving Culture
Software Engineer • Current Employee
December 22, 2021
Pros: Very exciting business development; well-positioned with very strong traction in the AI space; incredibly strong team across the board; and generally interesting and challenging work.
Cons: Typical startup woes like a reactive engineering culture of selling before building, and some fires caused by tech debt.
- 5.0Great companyMachine Learning Researcher • Current EmployeeOctober 4, 2021Pros: - Lots of interesting problems - Lots of smart peopleCons: A culture of grinding and working hard
- 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
- 5.0Great growth, Improving CultureSoftware Engineer • Current EmployeeDecember 22, 2021Pros: Very exciting business development; well-positioned with very strong traction in the AI space; incredibly strong team across the board; and generally interesting and challenging work.Cons: Typical startup woes like a reactive engineering culture of selling before building, and some fires caused by tech debt.
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