Responsible for building and continuously optimizing algorithm solutions in product profiling construction & product information quality improvement etc. to accelerate supply operational efficiencies in global e-commerce markets;
Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
As a member of the Infrastructure Security team, you will focus on 2–3 of the following areas based on your interests, experience, and the team's priorities;
Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.
Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
Large language Model Algorithm Development: Build domain-specific large language models (LLM/MLLM) for e-commerce, integrating domain knowledge to rapidly apply models to business scenarios.
Reliability: Ensuring the reliability and efficiency of our core infrastructure, focusing on system capacity and stability; setting up reliability standards and recovery SOP.
Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
Contribute to building the intelligent operations system for ByteDance's global Video & Edge business. Work on solution design, technology evaluation, core module development, testing, and delivery for AI Agent and AIOps platform capabilities.
Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.
Ensure the compliance of QMS towards applicable medical devices regulations and standards, in area of QMS processes such as Audits, CAPA, Change Control Management, Documentation/Records Management and Training.