About the Team:
Global 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, 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 large scale models.
We are looking for talented individuals to join our team.
As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
The application limit is applicable to our Company and its affiliates' jobs globally.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Online Assessment
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities:
- Build industry-leading globalized large-scale recommendation system;
- Design and build high performance systems and reliable data pipelines to support large scale machine learning serving and training demands;
- 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.