Exposure to client-side development, backend systems, audio/video technologies, and AI agent engineering, giving you a broad and well-rounded technical perspective.
Develop a deep understanding of the business logic and merchant needs within e-commerce vertical domains, enabling Agents to accurately understand and execute highly specialized and complex business requirements, and truly solve real-world problems in merchant operations;
Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Enhance observability for recommendation systems in complex global environments, including multi-region, multi-data center, and multi-language scenarios; establish end-to-end tracing systems and optimize issue attribution mechanisms.
Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computer Engineering, Software Development or a related discipline.
Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.
Develop reliability platforms and engineering tools for the advertising systems, including monitoring, alerting SLO management, risk governance, and resource management.