Process
Quick recruiter call. You are handed a package about card games that helps you familiarize yourself with card games upfront. During the interview, you implement a card game given some Python classes.
Questions
Implement a card game according to given criteria.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Scale AI Software Engineer role in Canada.
Success Rate
0%
Pass Rate
Scale AI's interview process for their Software Engineer roles in Canada is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Scale AI's Software Engineer interview process in Canada.
Scale AI Work Experiences
4.0
High-intensity, high growth
Software Engineer • Current Employee
New York, NY
July 4, 2025
Pros: - Lots of ownership opportunities
- Working on the frontier and exposure to the top AI companies and researchers
- Very smart and motivated coworkers
Cons: - Very bad WLB (50-60 hour weeks, sometimes 80-100) that is improving
- Operations at its core, not working on building AI models but rather the datasets
3.0
talented people, but no clear direction
Software Engineer • Former Employee
April 19, 2023
Pros: Smart coworkers who interface directly with customers
Cons: Poor work-life balance, poor engineering practices, questionable leadership, and no clear company direction
2.0
Decent for growth if you want to grind
Software Engineer • Current Employee
September 23, 2024
Pros: Smart and talented coworkers, and increasing talent density
Cons: Terrible work life balance leads to insane burnout and retention issues.
- 4.0High-intensity, high growthSoftware Engineer • Current EmployeeNew York, NYJuly 4, 2025Pros: - Lots of ownership opportunities - Working on the frontier and exposure to the top AI companies and researchers - Very smart and motivated coworkersCons: - Very bad WLB (50-60 hour weeks, sometimes 80-100) that is improving - Operations at its core, not working on building AI models but rather the datasets
- 3.0talented people, but no clear directionSoftware Engineer • Former EmployeeApril 19, 2023Pros: Smart coworkers who interface directly with customersCons: Poor work-life balance, poor engineering practices, questionable leadership, and no clear company direction
- 2.0Decent for growth if you want to grindSoftware Engineer • Current EmployeeSeptember 23, 2024Pros: Smart and talented coworkers, and increasing talent densityCons: Terrible work life balance leads to insane burnout and retention issues.
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