Company profile
Replicate
Replicate lets developers run, fine-tune, and deploy open models through a simple hosted API and model marketplace. Interviews are likely to centre on model packaging, GPU scheduling, API ergonomics, and how to make unpredictable research artefacts reliable for production developers.
Interview process
As a developer tools startup of around 80 people, Replicate is at the size where founders and early team members usually interview candidates themselves, and practical exercises tend to matter more than formal rubrics. Depth in one relevant area typically counts for more than broad coverage at this stage. See the role pages below for what backend engineer, ml engineer, ai engineer candidates usually prepare.
Questions and process by role
Replicate 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.
- Backend engineer
Backend engineer interview questions and process at Replicate.
engineering - ML engineer
ML engineer interview questions and process at Replicate.
engineering - AI engineer
AI engineer interview questions and process at Replicate.
ai - AI infrastructure engineer
AI infrastructure engineer interview questions and process at Replicate.
ai - AI red team engineer
AI red team engineer interview questions and process at Replicate.
ai - AI research engineer
AI research engineer interview questions and process at Replicate.
research - MLOps engineer
MLOps engineer interview questions and process at Replicate.
ai - DevOps engineer
DevOps engineer interview questions and process at Replicate.
infrastructure
Salary signal
Approximate senior median pay for Replicate'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 Replicate offers. Open a role for the full city-by-city table.
Employee reviews
Replicate holds a 4.4 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 4.4