TikTok Research Engineer Interview Questions

The questions to prepare for a TikTok Research Engineer interview. Questions from real interview reports rank first. Updated daily.

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Machine LearningStart here. 5 questions · ~40 min

Optimize a traditional ML inference loop for predictable low latency while preserving model outputs and measurable accuracy.

Loss Function Trade-OffsHard

Compare classification loss functions and explain their effects on robustness, calibration, class imbalance, and business-aligned model performance.

model selectionloss functionsTrade-offs

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Foundation Model Architecture and Data ScalingMedium

Assesses experience building large models and managing data at scale.

architecture

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Large-Scale Ranking Model FailuresMedium

Tests knowledge of issues in ranking model training and mitigation strategies.

failure modes

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System Design4 questions · ~32 min

Tests system design for AI workloads with strict latency and throughput requirements.

Global Supply Chain ConsistencyMedium

Tests understanding of consistency and availability trade-offs in large distributed systems.

consistencyavailabilitysupply chain

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Petabyte-Scale Model Training PipelineHard

Evaluates system design for scalable, end-to-end ML training pipelines at extreme data scales.

pipeline designmodel training

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Real-Time Feature Engineering for AdsHard

Evaluates real-time feature processing and distributed system design for advertising platforms.

Feature Engineering

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