Machine Learning Engineer Intern (TikTok Shop - SEA) - 2027 Start

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 experience, 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.

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.

Responsibilities: - Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs; - Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data; - Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets; - Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.