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.
Learn Client Leadership: Observe and participate in high-level client discussions, learning how to present ideas, manage expectations, and solve complex business challenges.
Stay up to date with the latest advancements in Large Language Models (LLMs) and AIGC technologies, explore innovative quality and engineering efficiency solutions for software testing, and continuously refine them through practical application.
Support the development, testing and improvement of internal business systems, digital solutions and company web platforms while gaining practical experience in real-world software projects.
Work closely with CS leaders, ML engineers, product managers, and other stakeholders to translate reviewer feedback into prioritized experiments and system improvements.