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

The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology： - Combat any kinds of risks/violations issues in E-commerce scenarios. - Build an E-commerce ecosystem and improve platform service capabilities

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Responsibilities: - Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products. - Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators. - Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering. - Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain. - Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.