Job Description

About the team

Our Search Team is responsible for building and owning TikTok's search engine which provides our users the best search experience. On the TikTok 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.

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

1. Participate in the research and development of international short video search engines, using cutting-edge machine learning algorithms and massive data to make the most exciting technologies and give users the best search experience;

2. Participate in the improvement of international short video search algorithms. Optional directions include:

(1) Explore cutting-edge NLP technologies: from basic word segmentation, NER, to application-based Query analysis, basic correlation, etc., full-link application of deep learning models, every detail is full of challenges;

(3) Cross-modal matching technology: Apply CV + NLP deep learning technology in search to make search have more powerful retrieval capabilities in the above businesses. Engage in the research and development of video search, visual search and other related algorithms, including video content understanding, visual representation learning, multi-modal fusion, etc.;

(4) Personalized search: Apply large-scale machine learning to solve the recommendation problem in search, and make search more personalized and understand you better;

(5) Hundreds of billions of data: from large-scale offline computing, distributed system performance, scheduling optimization, to building high-availability, high-throughput, and low-latency online services, there are in-depth research and innovation.