Company profile
Hugging Face
Hugging Face hosts the largest open-source model and dataset hub and maintains the Transformers, Datasets, and Diffusers libraries that the open-ML community is built on. Interviews are remote-first, fast, and biased toward candidates with public open-source track records, often with a take-home that maps directly to a real platform problem.
Interview process
Hugging Face 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
Hugging Face 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
ML engineer interview questions and process at Hugging Face.
engineering - AI engineer
AI engineer interview questions and process at Hugging Face.
ai - AI infrastructure engineer
AI infrastructure engineer interview questions and process at Hugging Face.
ai - AI red team engineer
AI red team engineer interview questions and process at Hugging Face.
ai - AI research engineer
AI research engineer interview questions and process at Hugging Face.
research - MLOps engineer
MLOps engineer interview questions and process at Hugging Face.
ai - Backend engineer
Backend engineer interview questions and process at Hugging Face.
engineering - Analytics engineer
Analytics engineer interview questions and process at Hugging Face.
data
Salary signal
Approximate senior median pay for Hugging Face's core roles, anchored to New York and modeled from BLS, ONS, and Levels.fyi reference medians. These are market bands for the role and city, not Hugging Face offers. Open a role for the full city-by-city table.
Employee reviews
Hugging Face holds a 4.2 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 4.2