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

What you'll do

• Develop and test machine learning algorithms and risk-defense solutions, sharing findings with Product and Tech teams.
• Build data-querying infrastructure for real-time and offline analysis, and define risk-control metrics and goals.
• Collaborate across teams, improve automation processes, and document and communicate technical results.

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, research, coding competition, or publication experience; e-commerce or risk-control experience is especially relevant.

Tools

Python, SQL/Hive, Hadoop

AI focus

Build AI-native risk intelligence systems using machine learning to address risks from large-scale AIGC content production; the team is moving toward tool-augmented, modular multi-agent systems with traceability, observability, feedback-driven evolution, and cross-domain risk reasoning.