PhD AI Feature & Storage Intern — Streaming Lakehouse

TikTok

Singapore

On-site

SGD 17,000 - 26,000

Part time

14 days+

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Job summary

TikTok is offering an AI Feature/Computing/Storage Engineer Intern (TikTok Recommendation Ecosystem) for a 2027 start. This PhD internship focuses on next-generation streaming lakehouse architectures and high-throughput data storage systems to support large-scale feature pipelines.

A minimum 3-month commitment is required, with roles in Java/Scala/C++ and distributed data systems. Applicants should be pursuing a PhD in CS or related field and are expected to contribute to research, prototyping,

Qualifications

Currently pursuing a PhD in Computer Science, engineering or quantitative field.
Strong programming skills in Java/Scala/C++, with research experience in distributed systems, databases, or data management.
Published research in data systems at venues such as SIGMOD, VLDB, ICDE, SOSP, OSDI, NSDI, or equivalent conferences.

Responsibilities

Conduct research on next-generation streaming lakehouse architectures and data processing systems for large-scale recommendation feature pipelines.
Design and implement optimized data formats and storage systems to support high-throughput deep learning model training workloads.
Develop novel data management and indexing techniques to reduce end-to-end latency of feature engineering pipelines for recommendation systems.