Machine Learning Engineer Intern (E-Commerce Risk Control)- 2027 Start (PhD)

What you'll do

• Develop risk-management machine-learning algorithms; prototype solutions and run experiments to inform Product and Tech teams.
• Build data-querying infrastructure for real-time and offline analysis, identify ways to strengthen risk defenses, and define risk-control metrics.
• Collaborate across teams and communicate technical processes and results through documentation, visualizations, and presentations.

What they ask for

• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Proficiency in 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, with problem-solving, analytical, time-management, and detail-oriented skills.

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 AI-native risk intelligence systems using tool-augmented reasoning, modular multi-agent architectures, and feedback-driven evolution to address risks from large-scale AIGC content production.