• Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting, inventory-level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between the future and history;

• Participate in the growth of e-commerce merchants/creators, responsible for the growth algorithm of e-commerce merchants/creators, including potential merchants/creators mining algorithm, tiering algorithm, out-reach algorithm, growth algorithm, etc. Work closely with e-commerce merchants/creators related operations and product teams to achieve the high-quality growth goal of e-commerce merchants/creators;

• Combined with massive e-commerce information, through data mining and machine learning, predict the performance of products in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution, to satisfy the requirements of product growth, cost optimization and some other scenarios.

Qualifications:

Required:

• Currently pursuing a PhD degree in fields such as artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines, with experience in data mining and deep learning.

• Experience in machine learning and statistics, familiar with the principles and model structures of common machine learning and deep learning algorithms for classification, regression, and clustering, with practical application experience.

• Experience in programming languages such as Python/Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow/PyTorch etc.).

• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

• Able to commit to working for 12 weeks starting May 2025.

Preferred:

• Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship.

• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.

• Internship experience or research experience, especially in e-commerce, supply chain, logistics, and transportation.

• Published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions.

Company:

ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.