Machine Learning Research Engineering Intern Interview Experience
September 15, 2023
Neutral ExperienceNo Offer
Process
If I receive a positive response, I'd schedule a phone or video call with the company's recruiter. During this call, I'd express my enthusiasm for the role, share my career goals, and answer any preliminary questions they might have about my background.
Questions
Haven't gone through the interview yet. Still waiting.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Scale AI Machine Learning Research Engineering Intern role in United States.
Success Rate
0%
Pass Rate
Scale AI's interview process for their Machine Learning Research Engineering Intern roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for Scale AI's Machine Learning Research Engineering Intern interview process in United States.
Scale AI Work Experiences
5.0
Great
Software Engineer • Current Employee
San Francisco, CA
August 4, 2024
Pros: Great. I love working there and the team is great.
Cons: A lot of management overhead that comes with every big company.
5.0
Quickly growing and a lot of opportunities for growth
Software Engineer • Current Employee
San Francisco, CA
January 14, 2024
Pros: - A lot of growth opportunities and far more scope or high-leverage work to go around than there are engineers.
- Given a lot of autonomy to define your role, and you can mix engineering, PM, and EM skillsets easily.
- Can set boundaries pretty easily because there's always a lot going on, but if you're very intentional about time management and what you take on, then you can focus on the important stuff.
- Company is growing exceptionally quickly and pays well.
Cons: - Not a lot of mentorship or structure provided for engineers early in their career
- Not enough engineering managers; they exist in every org for a reason. Having someone to push back and prioritize requests from ops would make the product much simpler and life a lot easier.
3.0
Great environment wlb is hard
Software Engineer • Former Employee
May 2, 2025
Pros: Great place to learn and work hard.
Cons: Work life balance is not optimal.
- 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.
- 5.0Quickly growing and a lot of opportunities for growthSoftware Engineer • Current EmployeeSan Francisco, CAJanuary 14, 2024Pros: - A lot of growth opportunities and far more scope or high-leverage work to go around than there are engineers. - Given a lot of autonomy to define your role, and you can mix engineering, PM, and EM skillsets easily. - Can set boundaries pretty easily because there's always a lot going on, but if you're very intentional about time management and what you take on, then you can focus on the important stuff. - Company is growing exceptionally quickly and pays well.Cons: - Not a lot of mentorship or structure provided for engineers early in their career - Not enough engineering managers; they exist in every org for a reason. Having someone to push back and prioritize requests from ops would make the product much simpler and life a lot easier.
- 3.0Great environment wlb is hardSoftware Engineer • Former EmployeeMay 2, 2025Pros: Great place to learn and work hard.Cons: Work life balance is not optimal.
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