The Search Ranking Team is the core algorithm team of our Search business.
We are responsible for optimizing user experience in the search and recommendation scenario.
We have opened full-link algorithm positions such as indexing, recall, rough sorting, fine sorting, rerank, and mix-rank.
Here you’ll have the opportunity to build a full-stack search engine system based on advanced AI methods to provide a world leading search engine.
We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
Responsibilities
Ranking Algorithm
Apply cutting-edge information retrieval and machine learning technologies to design, develop, and optimize industry-leading search and recommendation algorithms, to improve end-to-end user experience for billions of users across global platforms.
Participate in the optimization of trillion-scale index libraries, trillion-parameter models, ultra-long-term user job family modeling, large-scale sparse models, and many other cutting-edge research topics.
LRM (Large Recommendation Model)
Conduct In-depth research on next-generation ranking models powered by the world knowledge of large models, to bring revolutionary transformation to search and recommendation services.
Explore cutting-edge technologies including short video MultiModal Machine Learning, generative models, scaling law, sparse MoE, and reinforcement learning.
Requirements
Bachelor degree or above in the field of computer science or a related technical discipline
Proficient coding skills and strong algorithm & data structure using C++/Python/Java
Have a solid knowledge of machine learning and practical experience in applying it
Preferred
Effective communication and teamwork skills.
Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV
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