Company profile
Recursion uses automated biology, imaging, chemistry, and machine learning to discover and develop new medicines. Interviews are cross-disciplinary, with candidates expected to reason about data quality, experimental systems, ML modelling, and collaboration between software engineers and scientists.
A round-by-round breakdown of the Recursion 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.
Recursion 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 Recursion.
AI engineer interview questions and process at Recursion.
AI infrastructure engineer interview questions and process at Recursion.
AI red team engineer interview questions and process at Recursion.
AI research engineer interview questions and process at Recursion.
MLOps engineer interview questions and process at Recursion.
Analytics engineer interview questions and process at Recursion.
BI engineer interview questions and process at Recursion.
Approximate senior median pay for Recursion'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 Recursion offers. Open a role for the full city-by-city table.
Recursion holds a 3.8 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 3.8An external resource we recommend. Educative is not affiliated with us and we earn nothing from this link.