JD Logistics
A Machine Learning Engineer at JD.com designs, develops, and deploys large-scale models for demand forecasting and supply chain optimization. The role focuses on improving forecast accuracy, stock availability, and fulfillment costs using advanced neural deep learning methods. Candidates will collaborate with product, engineering, and operations teams to influence model architecture and system design for global inventory systems.
JD Logistics is a global logistics company headquartered in Parsippany, NJ, providing air freight, sea freight, road freight, intermodal freight, customs clearance, and warehouse solutions. Founded in 2018, the company offers cost-effective and reliable shipping tailored to global cargo needs. JD Logistics serves clients worldwide with a dedicated focus on on-time delivery and supply chain efficiency.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for JD Logistics.
JD Logistics didn’t post a salary, so this is our estimate from similar listings.
25% above the average for this role