Algorithm Engineer Intern, Search Guide (May - Dec 2025)

About the team

Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.

 

 Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.

 

 The search algorithm team is responsible for Shopee’s product search. Our main mission is to continuously build world class search algorithms and become a power engine for the company's sustainable growth. We welcome passionate and experienced talents to join us and serve our customers from all over the world. 

What you'll do

• Responsible for query-related recommendation scenarios in e-commerce search, including dropdown recommendations, inline recommendations, trend recommendations, and interactive category navigation queries, continuously enhancing the user's guided shopping experience.
• Develop and optimize recall algorithms, ranking algorithms, and traffic control algorithms for query recommendation scenarios; build query generation and rewriting algorithms based on Large Language Models (LLMs).
• Support the development of guided conversational systems powered by LLMs; improve users' efficiency in discovering and understanding new categories through technologies like LLM and Retrieval-Augmented Generation (RAG).  

Requirements

• Final-year or Penultimate student currently pursuing a Bachelor’s degree in computer science, computer engineering or any related fields
• Master degree or above in computer science, computational linguistics and other related majors
• Be familiar with at least one of the following programming languages, C++/golang/Python, and have good knowledge of data structure and algorithms
• Have excellent coding skills, hands-on online code development experience, and proficiency in at least one language among C++/Golang/Python/Java
• Applicants good at data analysis using Spark SQL/Scala are preferred
• Sensitive to data and business, passionate about technical challenges, and have excellent critical thinking skills
• Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress
• Full-time interns preferred (6 months)
• Part-time interns who can commit at least 3 working days a week are also welcome to apply