Provide operational support for credit-bearing internship registration and documentation processes, including coordinating required submissions and liaising with relevant stakeholders.
Support campus recruitment initiatives, including outreach activities, intern and graduate recruitment coordination.
Assist with the preparation of event and recruitment materials (e.g., EDMs, posters, presentation decks, and communication content).
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AI scenarios: Participate in the application of AI in client-side development and core business scenarios, helping build an AI-driven R&D and system capability framework. This includes, but is not limited to, improving development efficiency through AI, such as code generation, workflow-driven development, and business understanding; participating in the design and practice of AI Native / Agentic Commerce capabilities, including interaction models and capability abstractions for agents; exploring and contributing to cutting-edge AI payment capabilities and industry-standard protocols; and promoting intelligent capabilities across payment and financial flows, such as decision intelligence, recommendation intelligence, and experience intelligence, to continuously improve engineering efficiency and business outcomes.
Participate in the development of core Global Payment iOS client capabilities, covering checkout experiences for e-commerce and local services, TikTok Pay wallet, credit and financial services, standalone payment apps, and AI-related explorations.
Support the design and implementation of reliable and scalable iOS checkout solutions across multiple countries, payment methods, and complex business scenarios, helping improve transaction success rate, user payment experience, and system stability.
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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.
Develop evaluation frameworks and guardrails, including LLM-as-a-judge and human-in-the-loop approaches, to ensure outputs are safe, accurate, and reliable, especially for compliance-sensitive industries such as finance. Evaluate multiple models on common tasks to identify trade-offs and inform go-to-market decisions.
Collaborate closely with product and algorithm research teams to feed real-world customer signals back into the product roadmap and model development process.
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For inference track, develop the Volcano Ark MaaS (Model-as-a-Service) inference platform, optimizing the performance, cost efficiency, and reliability of large language model inference across hyperscale heterogeneous GPU clusters.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
Proficient in one or more programming languages such as Python, Rust, or C++, with strong coding practices, clean software design principles, and the ability to architect reusable frameworks and abstractions.
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