Reliability: Ensuring the reliability and efficiency of our core infrastructure, focusing on system capacity and stability; setting up reliability standards and recovery SOP.
Design and develop the computing architecture for data integration, and support the delivery of data integration requirements across different business lines throughout ByteDance.
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.
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.
Design, develop, and optimize the architecture of large-scale data ingestion systems to support real-time data pipelines with high throughput, low latency, and fault tolerance.
As a member of the Infrastructure Security team, you will focus on 2–3 of the following areas based on your interests, experience, and the team's priorities;
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;
Design, develop, and optimize the architecture of large-scale data ingestion systems to support real-time data pipelines with high throughput, low latency, and fault tolerance.
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
Payment Product builds standardized platform capabilities across payments, refunds, settlement, merchant services, billing, and related financial workflows. The team develops reusable products and infrastructure for multiple businesses, markets, and payment methods.
Design, develop, and optimize the architecture of large-scale data ingestion systems to support real-time data pipelines with high throughput, low latency, and fault tolerance.
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.
Design and develop resource scheduling systems for machine learning platforms, supporting model training, evaluation, and inference workloads across domains such as NLP, Computer Vision (CV), and Speech.
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.
Bridge the gap between cutting-edge Generative AI model research and real-world industrial applications by solving the “last mile” of AI deployment, ensuring models are performant, grounded, and effectively integrated into complex agent solutions that deliver direct business impact.
Design and develop the computing architecture for data integration, and support the delivery of data integration requirements across different business lines throughout ByteDance.
Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.