Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start

What you'll do

• Build algorithms to detect risks, violations, low-quality content, fraudulent behavior, and risky merchants or creators in e-commerce.
• Optimize large-scale brand and product libraries, and deduplicate or cluster content.
• Develop and optimize e-commerce large-model data and training methods, and explore reinforcement learning and operations research for audit scheduling and dispatching.

What they ask for

• Completing or recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Solid coding skills; able to develop in Linux and proficient in Python, Go, or C++.
• Strong foundations in data structures, algorithms, machine learning, and deep learning, with practical experience.
• Familiar with 1–2 areas among NLP, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM.

Nice to have

• Completing or recently completed a Master's degree in a stated or related discipline.
• Experience in platform governance, audit, risk control, content security, or overseas internet/e-commerce business.

Tools

Linux, Python, Go, C++, LLM

AI focus

Build e-commerce risk, violation, fraud, and quality-detection algorithms; work on large-model data construction, instruction fine-tuning, CoT, and alignment; explore reinforcement learning for intelligent dispatching and audit scheduling.