Process
Got a meeting scheduled with a recruiter for Friday. I met with the VP of the branch the Tuesday before for normal questions.
I met with an ML engineer for a technical interview on Thursday. This went poorly. I checked my calendar Friday and the interview with the recruiter was cancelled, with no heads-up.
Questions
If there are ten uniformly distributed numbers from 0-1, what would the distribution of the difference between the fifth and sixth look like? What distribution does that look like and why? (Used a lot of native NumPy packages).
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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
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
Candidates reported having mixed feelings for Scale AI's Machine Learning Engineer interview process in United States.
Scale AI Work Experiences
- 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.
- 3.0Fast paced, not for everyoneSoftware Engineer • Former EmployeeSan Francisco, CAMarch 7, 2025Pros: - A lot of smart and talented people - Working on cutting-edge AI training pipelines - Very motivated peopleCons: - Working hard isn't enough; you need to learn to thrive in a toxic and highly political environment. - It is a 24x7 grind, and a lot of weekends will be sacrificed.
Scale AI Interview Questions
