AI Feature/Computing/Storage Engineer Intern (TikTok Recommendation Ecosystem) - 2027 Start (PhD)
Core
Design and implement optimized data formats, storage systems, and data management techniques for large-scale recommendation feature pipelines and deep learning model training.
Role type
PhD intern, AI Feature/Computing/Storage Engineer
Builds
Offline and real-time data storage solutions for recommendation, search, and advertising businesses
Domain
Data systems, distributed systems, large-scale data processing
Deliverable
production ML models
Required skills
Java, Scala, C++, distributed systems, databases, data management, research in data systems
Preferred skills
Apache Flink, Apache Spark, Apache Paimon, Apache Iceberg, Delta Lake, columnar storage formats, vector databases, data indexing, machine learning systems
Technologies
Java, Scala, C++, Apache Flink, Apache Spark, Apache Paimon, Apache Iceberg, Delta Lake
Responsibilities
Conduct research on next-generation streaming lakehouse architectures; Design and implement optimized data formats and storage systems; Develop novel data management and indexing techniques to reduce end-to-end latency
Seniority
PhD Intern