Job Description

About the Team

Our Content AI Infra Team is responsible for building highly available and scalable content understanding system architectures in areas such as training, inference, and application. Collaborating with the Content AI Algorithm Team in areas such as Videos and LIVE, we are committed to efficiently applying large content understanding models(LLMs) in scenarios such as recommendation, security, and push notifications, providing TikTok users with the most stable and optimal experience. We are dedicated to enhancing the stability and reliability of content understanding architecture, continuously improving the performance of the content understanding architecture system through large model(LLMs) training and inference, and creating an industry-leading content understanding architecture.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Participate in content AI training and inference architecture design to improve the development efficiency, performance, scalability, and stability of the system.

- Build a highly available and low-latency content understanding inference architecture to support online and offline training and inference of TikTok's massive content.

- Analyze the performance of training and inference architectures, and optimize the efficiency of large model(LLMs) training and inference on GPU-based systems.

- Track cutting-edge technologies and applications within the industry, drive the upgrade of the team's technical architecture, and continuously expand application scenarios for content understanding.

- Collaborate with colleagues to serve global users and tackle the challenges brought by globalized architecture.