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Company profile

Scale AI

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.

Research labaidata-labellingml-infrastructure
Founded
2016
Employees
1K
HQ
San Francisco, US

Interview process

Scale AI operates as a research organization, so interviews at this kind of employer usually go deep rather than broad: past projects, publications where relevant, and how you reason about open problems. Panels tend to include working researchers rather than dedicated interviewers. The role pages below show what to prepare for ml engineer, ai engineer, ai infrastructure engineer positions.

Questions and process by role

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.

Salary signal

Approximate senior median pay for Scale AI's core roles, anchored to San Francisco and modeled from BLS, ONS, and Levels.fyi reference medians. These are market bands for the role and city, not Scale AI offers. Open a role for the full city-by-city table.

Senior p50
$382,000
Reference city
San Francisco
Basis
Total comp

Employee reviews

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 3.6

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