Combat any kinds of risks/violations issues in E-commerce scenarios and build an E-commerce ecosystem and improve platform service capabilities.
Requirements
- Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++
- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience
- Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM
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.
Other
- Successful candidates must be able to commit to an onboarding date by end of year 2026.
- Please state your availability and graduation date clearly in your resume.
- Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Good team spirit and strong communication skills
- Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business
