Job Description: Participate in the design and development of Shopee's core backend recommendation systems, enabling fast iteration for products and business needs Optimize performance of online serving engines, recall/ranking modules, and offline data pipelines to enhance system efficiency Abstract and refine reusable system components and services, contribute to building a centralized recommendation platform to support business expansion Conduct research on industry trends in recommendation technologies and help apply and integrate cutting-edge advancements. Requirements: Bachelor's degree or above in Computer Science or related field 2+ years of hands-on experience in personalized recommendation, search, or ad recommendation systems Strong foundation in data structures and software development skills proficient in Linux and strong coding skills in C++ or Golang Solid experience in designing high-concurrency architectures and strong capability in business abstraction, with broad technical insight and project expertise Excellent communication and collaboration skills, with a proactive attitude and strong sense of ownership Highly self-driven and resilient, with a passion for experimentation and business breakthroughs Willing to embrace challenging tasks and dedicate time and effort to excel.