Payment scenarios: Work on client-side checkout solutions for cross-country payment rule differences, multiple payment method combinations, and complex business scenarios. Help build highly reliable and highly available checkout experiences, continuously improving transaction success rate, user payment experience, and system stability.
Financial wallet scenarios: Participate in the global capability development of TikTok Pay, including account systems, fund management, local wallet integrations, and payment compliance capabilities across multiple countries. As the business continues to expand, help TikTok Pay evolve from a basic payment capability into a user-facing financial entry point, with the ambition of becoming a widely used global payment tool.
Architecture scenarios: Participate in client-side checkout architecture governance and foundational capability building, including dynamic rendering, componentization, link decoupling, container capabilities, performance optimization, and stability improvement, enhancing system reusability, scalability, and overall R&D efficiency.
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Payment scenarios: Work on client-side checkout solutions for cross-country payment rule differences, multiple payment method combinations, and complex business scenarios. Help build highly reliable and highly available checkout experiences, continuously improving transaction success rate, user payment experience, and system stability.
Financial wallet scenarios: Participate in the global capability development of TikTok Pay, including account systems, fund management, local wallet integrations, and payment compliance capabilities across multiple countries. As the business continues to expand, help TikTok Pay evolve from a basic payment capability into a user-facing financial entry point, with the ambition of becoming a widely used global payment tool.
Architecture scenarios: Participate in client-side checkout architecture governance and foundational capability building, including dynamic rendering, componentization, link decoupling, container capabilities, performance optimization, and stability improvement, enhancing system reusability, scalability, and overall R&D efficiency.
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For training track, develop the Volcano Ark training platform, enabling both internal and external users to perform serverless post-training (e.g., Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL)) on the Ark platform.
Design elastic training solutions for complex multi-tenant workloads, supporting mixed-tenant training across multiple data centers and heterogeneous hardware while optimizing training throughput, resource utilization, and system stability.
Build next-generation reinforcement learning infrastructure to improve training efficiency, while designing intuitive and developer-friendly APIs for RL training workflows.
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Design and develop the computing architecture for data integration, and support the delivery of data integration requirements across different business lines throughout ByteDance.
Work closely with partner teams across the company and around the world.
Optimize the performance and stability of real-time data integration services.
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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;
Responsible for continuously optimizing fundamental algorithms of unified product representations to further improve traffic efficiencies in global e-commerce markets.
Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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Responsible for the computational performance optimization of ByteDance's recommendation mid-platform models, conduct in-depth tuning for inference/training bottlenecks in business scenarios, and improve computing utilization.
Lead the design and development of high-performance kernel libraries, covering general-purpose and business-customized kernels, including general computation and communication parallelism, to ensure the ultimate performance of kernels.
Deeply cultivate model compilation optimization technology, and based on directions such as graph optimization, kernel fusion, computation scheduling, and code generation, build and improve the mid-platform model compilation system.
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