Team introduction: Data-e-commerce-platform governance algorithm team, through optimizing algorithms and cooperating with business teams, conducts comprehensive quality and ecological governance of Byte’s e-commerce products, including risks, violations and The fight against low-quality problems also includes the construction and optimization of a healthy e-commerce ecosystem, maximizing the effect of platform governance and improving the efficiency of governance. Job description: 1. Based on NLP/CV/multi-modal and other technologies, combined with business characteristics, design algorithm systems to identify risks and ecological issues in various entities in the e-commerce field (commodities/short videos with goods & live broadcasts, etc.) , solve risks and optimize the ecology through auditing, flow control, account disposal and other means 2. Deeply cultivate NLP/CV/multi-modal and large model technology to create an outstanding intelligent audit system in the industry to control risks while reducing costs 3. Responsible The team conducts short-term and long-term technical planning to improve system scalability and demand iteration efficiency 4. Develop in-depth collaboration with products/operations to improve the forward-looking nature of the system and achieve business goals 5. Responsible for the establishment of technical echelons, talent training and team building.
1. Computer or related major, bachelor degree or above 2. Have a solid algorithm foundation and have experience in large-scale algorithm system design and implementation experience 3. Familiar with at least 1-2 fields in NLP/CV/multimodality 4. Excellent analysis and problem-solving skills, able to go deep into business, dismantle business problems, and transform them into effective technical solutions 5. Have good teamwork spirit and strong communication skills, and work together to explore and promote the implementation of new technologies 6. Applicants with management experience are preferred, and those with e-commerce business experience are preferred.
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