Design an Embedding and Classification API

System DesignScale AILast reported August 2026Low Frequency
Reported
3× across candidate reports
First seen
October 2025
Last reported
August 2026
Reported outcome
mixed

Problem Overview

Design the API and pipeline around two black-box model services, one that returns embeddings and one that classifies. The reports name low latency, high throughput and cost: one reads as choosing either a high-throughput endpoint or a low-latency one, another as one system that supports both, so ask which. One…

  • 1 candidate-reported follow-up — the exact probes interviewers asked, with the trigger for each
  • The rest of the problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
Unlock the full Scale AI catalog
Full problem statements, candidate-reported follow-ups, and walkthroughs — for every Scale AI question.
Unlock with Pro
Already a member? Sign in
Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
Codex Fact-Checked
Technical claims, formulas, and scale numbers are reviewed against primary sources.
Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
Is this helpful?