Scale AI · Software Engineer (New Grad)
Scale AI's new-grad SWE loop is fast-paced and practical, reflecting a company that ships data infrastructure and ML tooling at high velocity. Expect an online assessment, medium-difficulty coding rounds, and at least one hands-on or practical round plus a behavioral conversation about ownership and speed. Interviewers care whether you can write correct code quickly, reason about data-heavy systems, and get real things working without much hand-holding.
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What this interview tests
- Fast, correct coding on core data structures (medium level)
- Practical data manipulation (parse, transform, extend an API)
- Reasoning about throughput, batching, and behavior at volume
- Edge-case handling and complexity analysis under time pressure
- Ownership and bias for action in a high-velocity environment
- Shipping real features under ambiguity
Common question themes
Array / string / hash-map problems solved quickly and correctly
Tree and graph traversal (BFS/DFS)
Parse, validate, and transform a batch of records
"How does this behave as the dataset grows large?"
"Tell me about a time you shipped fast with little direction"
Light dynamic programming or greedy problems
Modeled on a public Scale AI new-grad SWE posting