Job Description

Team Introduction
The Search team is mainly responsible for the search algorithm innovation and architecture research and development. We use cutting-edge machine learning technology for end-to-end modeling and continuous innovation and breakthroughs, while focusing on the construction and performance optimization of distributed systems and machine learning systems.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Participate in the research and development of the search engine, using the most cutting-edge machine learning algorithms and massive data to make the most exciting technology and give users the best search experience; here you can realize your architectural dreams without historical baggage.
- Participate in the search and development, and serve hundreds of millions of users of related products.
- Participate in the improvement of the search core architecture. Possible directions include:
(1) Design and develop data streams, distributed libraries, and online retrieval systems for billions of web searches, and design industry-leading retrieval architectures.
(2) Design large-scale data processing platforms for different genres such as video, graphics, and E-commerce, and develop industry-leading search and database building systems and feature engineering.
(3) Design and develop high-availability search engine stability solutions, continuously optimize service performance, and provide high-throughput, low-latency, and high-availability search online services.