Machine Learning Engineer Interview Experience - San Francisco, California
March 1, 2021
Positive ExperienceGot Offer
Process
Lots of interesting technical questions that were actually representative of day-to-day work. It consisted of a take-home Python coding challenge, a technical phone screen, and then an onsite with 4 sessions.
Questions
How did you approach a project where you had little to no direction?
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Interview Statistics
The following metrics were computed from 7 interview experiences for the Scale AI Machine Learning Engineer role in San Francisco, California.
Success Rate
14%
Pass Rate
Scale AI's interview process for their Machine Learning Engineer roles in San Francisco, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive43%
Neutral14%
Negative43%
Candidates reported having mixed feelings for Scale AI's Machine Learning Engineer interview process in San Francisco, California.
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
Just ok
AI Writing Generalist • Current Employee
Irving, TX
February 26, 2024
Pros: Fun work
Nice coworkers
Nice building
Area managers
Cons: Pay could be better, but it is not bad.
Site management;
Project customers.
- 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.
- 3.0Just okAI Writing Generalist • Current EmployeeIrving, TXFebruary 26, 2024Pros: Fun work Nice coworkers Nice building Area managersCons: Pay could be better, but it is not bad. Site management; Project customers.
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