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.
Recursion operates in the biotech space with a headcount around 600, which usually puts hiring in a middle zone: repeatable enough to have defined stages, small enough that the team you would join runs most of the loop. For ml engineer, ai engineer, ai infrastructure engineer candidates that generally means a recruiter conversation, skill rounds led by future teammates, and a closing conversation with a senior leader. The role pages below break down the questions for each function.
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 modelled from BLS, ONS, and Levels.fyi reference medians. 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 3.8