How it went
The interview process for this Senior Software Engineer role focused heavily on deep technical understanding, particularly concerning low-level details like memory, compute, and GPU utilization, rather than general AI concepts. Candidates were expected to demonstrate practical knowledge of distributed training at scale and foundational LLM concepts such as transformers and BERT. Coding challenges emphasized building solutions from scratch and optimizing for performance, suggesting a preference for fundamental engineering skills over reliance on high-level libraries.
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.
