Machine Learning Research Intern Interview Experience - San Francisco, California
Process
Started with a basic introduction. Then, a Jupyter Notebook containing three questions. The first two were simple and completed quickly. The last one was more time-consuming, involving basic NumPy and Python data manipulation and inference.
Questions
Create a pipeline for reading images and performing inference on a computer vision model in batches.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Scale AI Machine Learning Research Intern role in San Francisco, California.
Success Rate
Scale AI's interview process for their Machine Learning Research Intern roles in San Francisco, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Scale AI's Machine Learning Research Intern interview process in San Francisco, California.
Scale AI Work Experiences
- 5.0Good place if you highly value learning opportunities and talented coworkersEngineer • Current EmployeeMarch 10, 2026Pros: - Talented and helpful coworkers - Many interesting and challenging problems to solve related to SOTA techCons: - If you are coming from big tech, you will have to adjust to less organizational structure.
- 5.0GreatSoftware Engineer • Current EmployeeSan Francisco, CAAugust 4, 2024Pros: Great. I love working there and the team is great.Cons: A lot of management overhead that comes with every big company.
- 4.0Lots of workEngineer • Current EmployeeSan Francisco, CADecember 20, 2022Pros: Great team, smart people, and challenging problemsCons: Too many cooks in the kitchen, and not enough engineering leadership
Scale AI Interview Questions
