Backend Engineer - Ecommerce Recommendation Infrastructure (ByteDance Singapore)

About the Team E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques. Responsibilities - What You'll Do - Build and maintain high performance online services for TikTok recommendation system； - Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc; - Build globalized large-scale recommendation system; - Design and develop high performance computing frameworks and storage systems. - Research, design, and develop computer and network software or specialised utility programs. - Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. - Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures. - Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements. Minimum Qualifications - Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable system; - Experience programming in at least one of the following programming languages: C, C++, Java or Golang; - Effective communication skills and a sense of ownership and drive; Preferred Qualification - Experience in e-commerce related areas. - Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.