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,to provide the 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. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok. 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.
Minimum Qualifications: - Currently pursuing a Bachelors or Masters, majoring in Computer Science, or related fields, expected to graduate in 2026 - Strong software development experience with C++, Java or other programming language - Good teamwork and communication skills, positive and optimistic, and strong sense of ownership Preferred Qualifications: -Experienced in at least one of the following areas: personalized recommendations, search engine, advertising, machine learning infrastructure, distributed storage system, big data frameworks.
Read Full Description