The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

About the Team:

The search team is responsible for developing Shopee’s search engines across all global markets. Our team members hail from renowned universities and top global tech companies. Our primary mission is to support the company’s business development needs and continuously empower its rapid growth. The team’s work includes building real-time indexing systems, developing distributed search services, creating industry-leading ranking models, and providing personalized search user experiences. We are looking for passionate and self-driven individuals to join us in continuous innovation, serving users worldwide.

Job Description:

Business Support: Responsible for query-related recommendation scenarios in e-commerce search, including drop-down suggestions, background recommendations, trending query recommendations, and interactive category navigation queries. You will support the development of an LLM-based shopping guidance conversation system, continuously improving the user shopping experience. Algorithm Development: Build recall, ranking, and rerank algorithms for query recommendation scenarios. Develop LLM-based query generation and rewriting algorithms. Innovation Exploration: Support the development of an LLM-based shopping guidance dialogue system, using technologies like LLM and RAG to improve the efficiency of user discovery and understanding of new product categories.

Requirements:

Master's degree or higher in Computer Science, Computational Linguistics, NLP or related fields Experience in industrial search recommendation / NLP algorithms / large model applications Solid foundation in machine learning theory, familiarity with common search and NLP algorithm models, and proficiency with deep learning frameworks such as TensorFlow or PyTorch. Strong coding skills with practical experience in developing production-level code, and proficiency in at least one programming language (Golang/Python).