Tech Lead - E-commerce Recommendation Infrastructure - San Jose

关于这个机会

Our 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-commerce 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 industry-leading globalized large-scale recommendation system; - Design and build high performance online systems and reliable data pipelines; - Optimize and evolve the system continuously so as to support the skyrocket increase in both user traffic as well as the data amount; - Work with cross functional teams to deliver end-to-end infrastructure solutions to address critical product challenges and improve recommendation performance.

任职要求

Minimum Qualifications - Bachelor's degree or above, majoring in Computer Science or related fields - At least 5+ years of experience building scalable systems. - Strong software development experience with C++, Java or other programming language; - Good teamwork and communication skills, positive and optimistic, and strong sense of ownership; - Experienced in at least one of the following areas: personalized recommendations, search engine, advertising, machine learning infrastructure, distributed storage system, big data frameworks.

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。