Software Engineer Intern (Recommendation Performance Efficiency) - 2027 Summer
Core
Build globalized large-scale recommendation systems and efficient data pipelines for TikTok's For You Feed.
Role type
Software Engineer Intern (Recommendation Systems)
Builds
Large-scale recommendation systems and data pipelines for candidate generation, ranking, and real-time inference.
Domain
Social media, machine learning, large-scale systems
Deliverable
production ML models
Required skills
C, C++, Java, Golang, programming, data pipeline construction, system design
Responsibilities
Build globalized large-scale recommendation system; Build extremely efficient and reliable data pipelines for candidates generation, ranking system, profile generation, training examples generation, realtime online training; Coach AI to perform release process and production operations, including online anomaly detection and diagnose, release safeguards.
Seniority
Intern
