Machine Learning Engineer, E-Commerce Supply Chain & Logistics - USDS
TikTok.com
Office
San Jose, California, United States
Full Time
About the team
The USDS Global E-Commerce Global Supply Chain and Logistics team aims to enhance the shopping experience while reducing logistics operational costs. We are seeking highly talented and motivated graduate software engineers who are eager to apply their expertise in machine learning (ML), operations research (OR), data mining, and statistical inference to solve real-world challenges. Applications are reviewed on a rolling basis, so we encourage you to apply early.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Develop deep learning and operations research models, along with intelligent systems, to optimize the supply chain and logistics of the global e-commerce business.
- Apply advanced time series forecasting techniques to predict sales across multiple granularities and horizons, including warehouse-level labor forecasting and product-level demand forecasting. Leverage strong machine learning and deep learning methods to identify key drivers and capture relationships between historical and future trends.
- Design and implement advanced operations research models—particularly mixed-integer programming—to address real-world logistics challenges, including inventory planning and allocation, middle-mile routing and truck scheduling, optimal fulfillment strategies, and sales and operations planning.
The USDS Global E-Commerce Global Supply Chain and Logistics team aims to enhance the shopping experience while reducing logistics operational costs. We are seeking highly talented and motivated graduate software engineers who are eager to apply their expertise in machine learning (ML), operations research (OR), data mining, and statistical inference to solve real-world challenges. Applications are reviewed on a rolling basis, so we encourage you to apply early.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Develop deep learning and operations research models, along with intelligent systems, to optimize the supply chain and logistics of the global e-commerce business.
- Apply advanced time series forecasting techniques to predict sales across multiple granularities and horizons, including warehouse-level labor forecasting and product-level demand forecasting. Leverage strong machine learning and deep learning methods to identify key drivers and capture relationships between historical and future trends.
- Design and implement advanced operations research models—particularly mixed-integer programming—to address real-world logistics challenges, including inventory planning and allocation, middle-mile routing and truck scheduling, optimal fulfillment strategies, and sales and operations planning.
Machine Learning Engineer, E-Commerce Supply Chain & Logistics - USDS
Office
San Jose, California, United States
Full Time
September 10, 2025