Job Description

JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: https://corporate.jd.com/


We are building a next-generation inventory prediction & replenishment optimization platform to support JD’s global fulfilment services. We are looking for a Machine Learning Engineer who are passionate about turning machine learning, and research into real, large-scale business impact.


As a Machine Learning Engineer focusing on demand forecasting, replenishment optimization, and supply chain decision intelligence, you will design, develop, and deploy models that support billions of worth of global inventory flow decisions. Your work directly influences forecast accuracy, stock availability, fulfilment cost, and customer experience.

Responsibilities

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Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimization. Develop innovative algorithmic solutions to complex forecasting and supply chain problems in close collaboration with product, engineering, and operations teams. Contribute to the technical direction of the fulfilment intelligence platform and influence model architecture, system design, and best practices.

Minimum Qualifications

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Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related technical field. 3+ years of professional experience as a machine learning engineer or applied research scientist. Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Demonstrated ability to work independently with minimal guidance; proactively manage tasks and priorities across multiple projects; analyze and execute work efficiently; collaborate effectively with cross-functional teams; and thrive in fast-paced, results-driven environments. Effective communication skills in Chinese and English.

Preferred Qualifications

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Professional experience in e-commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains. Hands-on experience with modeling tools such as Python, PyTorch, TensorFlow, scikit-learn etc. Hands-on experience building large-scale distributed machine learning systems such as Hadoop, Spark etc.

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About JD.com?

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JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, is a leading supply chain-based technology and service provider. The company’s cutting-edge retail infrastructure seeks to enable consumers to buy whatever they want, whenever and wherever they want it. The company has opened its technology and infrastructure to partners, brands and other sectors, as part of its "Retail as a Service" offering to help drive productivity and innovation across a range of industries. JD.com’s business has expanded across retail, technology, logistics, health, industrials, property development and international business. JD.com is ranked 44th on the Fortune Global 500 list and is China’s largest retailer by revenue, serving over 600 million annual active customers. The company has been listed on NASDAQ since 2014, and on the Hong Kong Stock Exchange since 2020. Committed to the principles of customer first, innovation, dedication, ownership, gratitude, and integrity, the company's mission is to make lives better through technology, striving to be the most trusted company in the world.

?Our Global Business?

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We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, JD.com continues to expand in markets where our competitive strengths shine. Currently, JD.com's operations span China, the U.K., the Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, the U.S., and many others, serving customers worldwide.


Key International Business Segments: Joybuy (online retail business in Europe), International Logistics, Cross-border Import Business, JD Industrials International, JD Property International