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

What you'll do

• Develop algorithms to detect risks, violations, fraud, and low-quality products, merchants, creators, and content; improve brand, product, and content deduplication and clustering.
• Build e-commerce large-model data and training workflows, including instruction fine-tuning, CoT, and alignment.
• Explore reinforcement learning and operations research for intelligent dispatching and audit scheduling.

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 foundation in data structures, algorithms, machine learning, and deep learning, with practical experience.
• Familiar with 1–2 areas among NLP, computer vision, multimodal, graph or search algorithms, text/data mining, and LLM.

Nice to have

• Completing or recently completed a master's degree in a 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

Machine learning and large-model development for e-commerce risk and quality detection, content deduplication, and intelligent audit scheduling.