Process
Data preprocessing and handling involves reading and saving data, as well as debugging LLM code that is already present. There are three bugs to find and solve. The focus is on data processing, coding, and debugging PyTorch code.
Questions
Write a dataset file from raw data.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Scale AI Machine Learning Scientist role in United States.
Success Rate
0%
Pass Rate
Scale AI's interview process for their Machine Learning Scientist 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 Scientist interview process in United States.
Scale AI Work Experiences
5.0
good culture
Software Engineer • Current Employee
San Francisco, CA
July 30, 2025
Pros: An energetic and passionate culture, and really smart people.
Cons: Sometimes overworked, and not much internal communication about big changes.
4.0
great for growth
Software Engineer • Former Employee
February 13, 2023
Pros: Lots of ownership and the ability to go beyond your role and take responsibility.
Cons: Not the best culture, as is evident generally across Scale's reviews.
3.0
Burn out culture
Senior Software Engineer • Former Employee
San Francisco, CA
December 9, 2023
Pros: Cool projects that look good on the resume
Cons: Hours were crazy, and product direction changed a lot.
- 5.0good cultureSoftware Engineer • Current EmployeeSan Francisco, CAJuly 30, 2025Pros: An energetic and passionate culture, and really smart people.Cons: Sometimes overworked, and not much internal communication about big changes.
- 4.0great for growthSoftware Engineer • Former EmployeeFebruary 13, 2023Pros: Lots of ownership and the ability to go beyond your role and take responsibility.Cons: Not the best culture, as is evident generally across Scale's reviews.
- 3.0Burn out cultureSenior Software Engineer • Former EmployeeSan Francisco, CADecember 9, 2023Pros: Cool projects that look good on the resumeCons: Hours were crazy, and product direction changed a lot.
Scale AI Interview Questions
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