Machine Learning Engineer Intern (TikTok Shop) - 2026 Start (BS/MS)

Description du poste:

About the team TikTok Shop is a content e-commerce business utilising international short video products as carriers. Our aim is to become the preferred choice for users seeking to discover and purchase affordable, high-quality products. We provide users with tailored, vibrant, and efficient consumption experiences while enabling merchants to access robust and dependable platform services in various scenarios, such as live e-commerce and short video content e-commerce. Our vision is to make affordable and high-quality products easily accessible, enhancing the quality of life for all. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands. We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company. 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. We support credit-bearing internship registration, subject to the intern's school requirements and company approval. Successful candidates must be able to commit to either of the following Internships - From May to August (onboard by 11 May 2026) Responsibilities - Drive operational efficiency for e-commerce merchants and their products by accelerating product growth, user growth and revenue growth across three dimensions: merchandise (new launches and bestsellers), pricing (promotions and campaigns) and content (affiliate programs and creative services). - Design and optimize merchant algorithm strategies, including business performance analytics, fluctuation analysis and attribution, business diagnostics, cost optimization (store coupons and co-funded commissions), and user CRM. - Design and optimize product operations strategies, including product diagnostics, optimization of image and text quality, new product growth, incubation of potential blockbusters, seasonal and trend-based assortments, and traffic boosting for key products. - Improve merchant and live-streaming marketing strategies to enhance capital efficiency for merchants and streamers in both store operations and live rooms. - Contribute to end-to-end live-streaming algorithm optimization, covering product, content, marketing and traffic allocation strategies to improve live-stream supply and conversion efficiency. - Apply representation learning, graph models, causal inference and time-series forecasting to help merchants, creators and operations teams solve real problems, discover new growth opportunities and improve overall e-commerce operational efficiency

Profil requis du candidat:

Minimum Qualifications - Undergraduate or Postgraduate currently pursuing a Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Experienced with feature engineering from massive raw data, e.g., customer/shop/anchor profiling and e-commerce transaction. - Solid understanding and hands on experience of data structure, algorithms, machine learning models such as boosting trees, logistics regression and clustering. - Knowledge of e-commerce related domains is a plus, e.g., LLMs, marketing, search/ads/personalized recommendation, and supply growth related technologies. - Good coding skills using Python, Spark, tensorflow/pytorch and other deep learning tools. Preferred Qualifications - Eager to learn new things and result oriented, customer oriented, team oriented and self driven. 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 If you have any questions, please reach out to us at apac-earlycareers@tiktok.com