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Updated weekly · Last refresh Oct 17

Recursion Pharmaceuticals Machine Learning Engineer Interview Questions

The questions to prepare for a Recursion Pharmaceuticals Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
System DesignStart here. 3 questions · ~25 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingRecursion Pharmaceuticals
System Design and MLOps/LLMOpsHard

Evaluates your ability to design ML systems and operationalize models with MLOps and LLMops best practices.

system designmlopsRecursion Pharmaceuticals
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2
Coding3 questions · ~25 min
TSV Column Extraction With BashEasy

Evaluates practical command-line skills for parsing TSV data.

bashRecursion Pharmaceuticals
Automate Log Parsing with BashMedium

Tests practical scripting skills for scalable data processing and operational efficiency.

bashdata preprocessingAutomationRecursion Pharmaceuticals
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3
Machine Learning7 questions · ~57 min
What You Know About RecursionEasy

Assesses your understanding of Recursion Pharmaceuticals and motivation for the Machine Learning Engineer role.

RecursionRecursion Pharmaceuticals
Convolutional Receptive FieldHard

Tests understanding of convolution geometry and how receptive fields grow across layers.

Deep LearningRecursion Pharmaceuticals
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4
Behavioral & Leadership3 questions · ~25 min
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5
More topics3 questions · ~25 min
End-to-End TFX Pipeline DesignHard

Tests ability to architect production ML workflows with training, evaluation, and deployment steps.

OrchestrationRecursion Pharmaceuticals
Significance for High-Throughput ScreeningMedium

Tests statistical reasoning for interpreting screening signals and controlling false positives.

Hypothesis TestingStatistical SignificancescreeningRecursion Pharmaceuticals
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