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

What you'll do

• Develop and test machine learning algorithms and risk-defense solutions; share findings with Product and Tech teams.
• Build data-querying infrastructure for real-time and offline analysis, define risk metrics, and support data-driven goals.
• Collaborate across disciplines, improve automation, and document and present technical work.

What they ask for

• Completing or recently completed a Bachelor's degree in 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 ability.

Nice to have

• Completing or recently completed a Master's degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Software engineering, internship, or research experience; e-commerce or risk control experience is especially relevant.

Tools

Python, SQL/Hive, Hadoop

AI focus

Develop machine learning algorithms for risk control and contribute to AI-native multi-agent risk intelligence, including tool-augmented reasoning, modular skills, traceability, feedback-driven evolution, and cross-domain risk reasoning.