How it went
The interview process for the Machine Learning Engineer intern role at Google was primarily focused on data structures and algorithms (DSA). It began with an online coding assessment, followed by multiple technical interviews featuring questions on binary trees, dynamic programming, and linked lists. The final round included behavioral questions about projects and past experience, with the overall emphasis being heavily on coding challenges.
What came up
Data ModelingMachine LearningConceptStatistics & ExperimentationData AnalysisCodingSQLData Structures & AlgorithmsPeople ManagementProject ManagementProgram SenseCross FunctionalSystem DesignProduct DesignEstimationProduct StrategyAnalyticalTechnicalExecutionBehavioralCustomer InteractionApp CritiqueData Pipeline DesignArtificial IntelligencePresentationPortfolio ReviewDebuggingCode ReviewProject Discussion
A candidate-reported account, lightly edited. Interview processes change by team and date.