请注意，申请此实习岗位需要满足如下条件：

毕业时间：26年11月至27年9月之间毕业
实习时间：2026年开始，一周实习4-5天，持续6个月
工作地点：深圳市南山区
简历要求：请提供中英双语简历（放在一个文件中）

投递须知：
1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！
2 学校的英文全称请准确填写。

Amazon Private Brands’ Global Sourcing Quality team is looking for customer-obsessed intern to lead AI-driven automation initiatives to drive product and factory excellence. The duration of the internship will be at least 24 weeks. The intern will work in the Amazon Global Sourcing office in Nanshan, Shenzhen.
The successful candidates will enjoy learning business fundamentals, quality management and continuous improvement methodologies, building AI agents and automation solutions to identify and quantify opportunities in products and production, and driving improvement activities. The ideal candidates will thrive in a highly collaborative, analytical, creative, and fast-paced environment. The ideal candidates must be self-driven, have excellent learning capability and strong problem-solving skills to break down complex workflows, and a results-oriented mindset to deliver measurable business impact. Finally, candidates must also be a strong communicator, with the ability to explain technical solutions to business stakeholders concisely and effectively.
What will you Gain?
- Gain knowledge in ecommerce, global sourcing, data processing, and agentic AI from real business;
- Visit world-class manufactures. Gain first-hand experience in supplier management and application of quality tools;
- Work with a diverse team with professionals from over the world;
- Put your learnings to test. Boost you resume with real world experience.


Key job responsibilities
- Build data pipelines and integrate data from multiple sources;
- Analyze data with scientific methodologies. Identify and quantify opportunities in product and packaging quality, manufacturing efficiency and consistency;
- Design and develop AI agents to automate data analysis, opportunity identification, improvement action tacking and effectivenss evaluation;
- Collaborate with cross-functional teams including Sourcing, Quality, Marketing, Business Management, Technology to identify automation opportunities, define use cases, and measure business impact
- Continuously optimize existing automation solutions based on user feedback, business metrics and evolving business needs.