Machine Learning Engineer Intern

4 weeks ago

Seattle, Washington, United States Tik Tok Full time
Job Description

TikTok is seeking a talented Machine Learning Engineer Intern to join our E-Commerce Global Supply Chain and Logistics team. As a key member of our team, you will be responsible for developing deep learning and operations research models and related intelligent systems for the supply chain and logistics of our global E-Commerce business.

You will utilize ecommerce 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. You will also build logistics network knowledge graphs and predict the spatiotemporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods.

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

You will participate in the growth of ecommerce merchants/creators, responsible for the growth algorithm of ecommerce merchants/creators, including potential merchants/creators mining algorithm, tiering algorithm, outreach algorithm, growth algorithm, etc. You will work closely with ecommerce merchants/creators related operations and product teams to achieve the high-quality growth goal of ecommerce merchants/creators.

Combined with massive ecommerce information, through data mining and machine learning, you will 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.

Requirements
  • Currently pursuing a Master's 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 Qualifications
  • 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 ecommerce, 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.

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