Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
Security Engineering & AI – Explore and develop AI-powered solutions for security engineering, including vulnerability discovery, security analysis, code review, and security automation.
Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
Participate in intelligent traffic management and large-scale platform development, with exposure to systems managing millions of machines and handling high concurrency. Improve code quality and system reliability through code review, automated testing, observability, and performance optimization.
Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
Security Engineering & AI – Explore and develop AI-powered solutions for security engineering, including vulnerability discovery, security analysis, code review, and security automation.
Optimize system performance across latency, throughput, and cost dimensions by improving prompt chains and implementing scalable caching strategies for AI features serving large user bases.
Security Engineering & AI – Explore and develop AI-powered solutions for security engineering, including vulnerability discovery, security analysis, code review, and security automation.
Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.