Enhancing the shopping experience and reducing logistics operational costs for TikTok's E-commerce Global Supply Chain.
Requirements
- Proficient 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.
- Proficient 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.).
- experience in data mining and deep learning.
- Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.
- 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.
Responsibilities
- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
- Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience.
- Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods.
- Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion.
- 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.
Other
- Successful candidates must be 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.
- Work closely with e-commerce merchants/creators related operations and product teams to achieve the high-quality growth goal of e-commerce merchants/creators.
- Master's or Phd degree in fields such as artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines
