Responsible for the computational performance optimization of ByteDance's recommendation mid-platform models, conduct in-depth tuning for inference/training bottlenecks in business scenarios, and improve computing utilization.
Our TikTok Search Team is responsible for building and owning our search engine which provides our users the best search experience. On the Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
Assist in the optimization and revamp of the Human Moderation queue, supporting product design and execution across task allocation, priority management, processing efficiency, and moderator experience improvement in manual review workflows.
Adopt AI technologies to identify abnormal traffic, detect anomalous user behavior patterns, and empower intelligent attack traceability to dispose of complex and variant security incidents efficiently.
Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
Design and implement reasonable offline data architecture for large-scale recommendation systems. Design and implement flexible, scalable, and high-performance storage and computing systems