Global E-commerce is a discovery-driven e-commerce business, working to become a destination for users to discover and buy good products at affordable prices. We build a shopping experience that feels tailored to each user, and a platform merchants can rely on across live and short-video commerce.
TikTok Shop is a more personalized way to shop, where joy, entertainment, and discovery meet. People engage directly with sellers and creators through shoppable videos and interactive livestreams, discovering and buying trending products without leaving the app. We want to be where people find innovative, unique, high-quality products from around the world, in an environment that stays safe and secure for sellers, creators, and users alike.
You will help redefine how people discover, search, and shop for the things they love, on a business expanding quickly across global markets.
About the team
TikTok Shop is a content e-Commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. TikTok Shop hopes to provide users with more tailored and efficient consumption experiences, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.
Global e-Commerce business platform team hopes to provide users with more tailored and efficient consumption experiences, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.
We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities:
- Develop data applications and services for Cost Efficiency, including cost analysis, capital loss prevention and merchant cost insights;
- Build and optimise data pipelines and services for the Promotion Data Platform, ensuring data accuracy, stability and scalability;
- Analyse business and technical requirements carefully to solve challenging problems;
- Participate in design reviews and code reviews;
- Collaborate with fellow engineers, product managers, data scientists and business owners in the team to ensure timely delivery of business requirements.
Minimum Qualification(s):
- Currently pursuing an Undergraduate in Computer Science, Computer Engineering or a related technical discipline;
- Strong software programming capabilities, with good code design and coding style;
- Familiarity with at least one of the programming languages: Go, Python, Java or C++;
- Pragmatic understanding of data structures, algorithm design and analysis, databases and distributed systems.
Preferred Qualification(s):
- Agile, quick self-learner, highly self-motivated, with a strong sense of product ownership and creative problem-solving;
- Data-driven and interested in e-commerce, marketing, or user growth;
- Good collaborator and team player, comfortable working in a fast-moving, culturally diverse and globally distributed team environment;
- Experienced in data engineering and familiar with online/offline data pipeline development; experience with React or LLM applications is a plus.