Machine Learning Engineer Intern (Global E-commerce Risk Control) - 2026 Start (PhD)

What you'll do

• Develop and test machine learning algorithms and novel risk-control solutions; share findings with Product and Tech teams.
• Collaborate across teams to improve automation and build data-querying infrastructure for real-time and offline analysis.
• Define risk-control metrics, align stakeholders on goals, and document and present technical results.

What they ask for

• Currently pursuing a PhD in Computer Science Engineering, Operations Research, or a related field.
• Able to work for 12 weeks during Summer 2026.
• Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning.
• Experience with Python, SQL/Hive, and Hadoop; strong understanding of data structures and algorithms.

Nice to have

• Software engineering experience through internships, work, coding competitions, or publications.
• Internship or research experience, especially in e-commerce or risk control.

Tools

Python, SQL/Hive, Hadoop

AI focus

Develop and apply machine learning algorithms for e-commerce risk detection and mitigation, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning.