About The Team
You'll be joining the team, which values collaboration, ownership, and a commitment to delivering high quality results in a fast paced, dynamic environment. 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 is 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
- 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.
- Work onsite in London, UK.
Minimum Qualifications
- 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 English.
Preferred Qualifications
- 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.
- Effective communication skills in Chinese.
Equal Opportunity Employment
At we're committed to building a diverse and inclusive workplace where everyone can thrive. We're proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.