Company profile
Scale AI provides the human data and evals pipeline that trains many of the frontier models, plus Scale Donovan for defense and government AI. Interviews are bar-raisey in the Amazon mould, with deep coding rounds, a system-design focused on data pipelines and queues, and an explicit ownership/intensity culture-fit.
A round-by-round breakdown of the Scale AI loop is being compiled from candidate reports. In the meantime, the role pages below show the questions, process pattern, and salary signal for each function, and the general structure tends to be a recruiter screen, a role-specific technical assessment, an onsite loop, and a final calibration or decision step.
Scale AI hires across several engineering and product functions, and the loop shifts with each one. Open a role for the reported questions, the round-by-round focus, and a salary band for that function.
ML engineer interview questions and process at Scale AI.
AI engineer interview questions and process at Scale AI.
AI infrastructure engineer interview questions and process at Scale AI.
AI red team engineer interview questions and process at Scale AI.
AI research engineer interview questions and process at Scale AI.
MLOps engineer interview questions and process at Scale AI.
Analytics engineer interview questions and process at Scale AI.
BI engineer interview questions and process at Scale AI.
Approximate senior median pay for Scale AI's core roles, anchored to San Francisco and sourced from BLS, ONS, and Levels.fyi reference data. These are market bands for the role and city, not Scale AI offers. Open a role for the full city-by-city table.
Scale AI holds a 3.6 Glassdoor rating. External review scores are directional signals. Treat them as context alongside the specific team, location, level, and hiring manager you are interviewing with.
Glassdoor 3.6An external resource we recommend. Educative is not affiliated with us and we earn nothing from this link.