Job description

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. Minimum Qualification(s): - Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline - 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 Qualification(s): -Experienced in at least one of the following areas: personalized recommendations, search engine, advertising, machine learning infrastructure, distributed storage system, big data frameworks. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: careers.tiktok.com

Requirements

Must-haves

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.
Online Assessment
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
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.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
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.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningjava

Platform: tiktok
Effort: medium