Backend Engineer Intern (TikTok Recommendation Architecture, Content Intelligence) - 2026 Start (BS/MS)

Design and implement highly available, low-latency content understanding inference architectures for TikTok, supporting both online and offline training and inference at scale. Work with distributed frameworks and message queues to improve performance, scalability, and stability, while optimizing large model (LLM) training and inference on GPU-based systems. Collaborate across global teams to expand content understanding application scenarios for recommendations, security, and push notifications.