← 发现更多职位
字节跳动
Regular

Backend Engineer, TikTok Ecommerce Recommendation Infrastructure

面议
新加坡 · Singapore · 经验要求见详情
R&DRegularW5880新加坡国际招聘TikTok

关于这个机会

About the Team E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, 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 - 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

任职要求

Minimum Qualifications - Bachelor's degree or above, majoring in Computer Science, or related fields - 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.

官方来源与核验

字节跳动官方招聘 · 职位编号 7185065653329922361

最近核验:2026-09-16T12:31:41.068845+00:00

查看官方职位详情 ↗

内推申请说明

本站为独立内推协助平台。申请会交由管理员核实岗位与内推渠道,不等于已在公司官网投递;薪资、岗位状态和实际招聘流程以官方信息为准。