AI Feature/Computing/Storage Engineer Intern (TikTok Recommendation Ecosystem) - 2027 Start
Core
Designing and implementing storage and computing infrastructure for TikTok's recommendation system to support offline data, feature pipelines, and model training for over a billion users.
Role type
Intern, IC infrastructure engineer (storage & streaming)
Builds
Unified offline and real-time data architectures, streaming lakehouse systems, and optimized data loading interfaces for deep learning frameworks
Domain
Internet / Recommendation Systems / Distributed Storage
Deliverable
infrastructure
Required skills
Distributed systems, Java/Scala/C++ programming, Debugging, Problem-solving
Preferred skills
Apache Flink, Lakehouse technologies (Apache Paimon, Iceberg, Delta Lake, Hudi), Feature storage pipelines, PyTorch integration, Columnar file formats (Parquet, ORC, Lance)
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