Process
Applied online. First interview was a live coding interview session, dealing with raw data for a CV task.
I thought the interview was super easy, even though I am more proficient in NLP than CV. I completed everything except for the very last task, for which I didn't have time to finish coding.
I didn't pass.
Questions
Data manipulation for CV task
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Interview Statistics
The following metrics were computed from 23 interview experiences for the Scale AI Machine Learning Engineer role in United States.
Success Rate
4%
Pass Rate
Scale AI's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive30%
Neutral35%
Negative35%
Candidates reported having mixed feelings for Scale AI's Machine Learning Engineer interview process in United States.
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.
3.0
Software Engineer
Software Engineer • Current Employee
San Francisco, CA
February 14, 2024
Pros: The company still executes like a small startup, and there is a ton to learn here.
Cons: Limited work-life balance and benefits.
- 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.
- 3.0Software EngineerSoftware Engineer • Current EmployeeSan Francisco, CAFebruary 14, 2024Pros: The company still executes like a small startup, and there is a ton to learn here.Cons: Limited work-life balance and benefits.
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