The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.
Requirements
- Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability.
- Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering
- Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
- Internship experience or research experience, especially in e-commerce, recommendation, search engine
- Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
Responsibilities
- Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems.
- Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions.
- Deploy and maintain scalable recommendation models for real-time query handling and product suggestions.
- Analyze complex datasets to derive insights that guide strategic decisions.
- Stay up-to-date with the latest machine learning developments, incorporating them into your work.
Other
- 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.
- Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Curiosity toward new technologies and entrepreneurship
- High levels of creativity and quick problem-solving capabilities
