Principal Algorithm Engineer, Search team

About the Team

We are committed to building a top-tier e-commerce search platform that integrates platform revenue, user experience, and merchant ecosystem for symbiotic development. As a core pillar of Shopee's search core algorithm team, we are in a critical phase of technological iteration and business breakthroughs, taking the lead in defining the next-generation evolution direction of e-commerce search technology and driving a new curve of business growth through algorithm innovation.

Job Description

• Define and drive the technical roadmap for Shopee's search systems, ensuring the platform remains at the forefront of e-commerce search technology. Actively explore, evaluate, and apply advanced AI techniques within real-world search scenarios.

• Lead the optimization and evolution of large-scale e-commerce search systems and algorithms to improve search efficiency, user experience, GMV, and platform revenue. This includes enhancing personalized recall and ranking, applying Large Language Models (LLMs) in search pipelines, and optimizing ranking mechanisms in close alignment with e-commerce business objectives.

• Serve as the technical and people leader of an algorithm team, responsible for talent development, succession planning, and building a strong engineering culture. Own the planning, resource allocation, and execution of core algorithm initiatives, and foster a highly cohesive, high-performing team with strong technical depth, innovation capability, and execution excellence.

• Collaborate closely with product, engineering, and business stakeholders to ensure algorithmic solutions are aligned with company strategy and directly support key business objectives.

Requirements

• Bachelor's degree or higher in Computer Science, Machine Learning or related fields.

• Experience in large-scale e-commerce search systems.

• Minimum 4 years of people management experience, managing teams of 20 or more engineers.

• Minimum 13 years of experience in algorithm development.

• Proven ability to design and implement end-to-end search algorithms, including constructing algorithm architectures, optimizing samples, features, and model structures, and implementing Generative Recall using Large Language Models (LLMs). Demonstrated leadership in driving key technical initiatives and managing teams.

• Strong business sensitivity and data-driven thinking can accurately identify business pain points and solve core business problems through algorithm innovation have successful cases of significantly improving key business indicators (such as search conversion rate, user dwell time, advertising ROI, etc.) through algorithm optimization.