Building next-generation generative AI infrastructure for search, advertising, and recommendation businesses.
Through the co-design of large models, multimodal technologies, and system-level innovations, we aim to overcome performance bottlenecks and enable ultra-long context handling, millisecond-level response latency, and high-precision information understanding, thereby driving intelligent upgrades across the business.
Individuals who are completing or have recently completed a PhD degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline....
Conduct fraud investigations to identify suspicious trends and resolve escalated issues from cross functional teams taking into consideration risk versus customer impact
Implement on-going tracking and monitoring of the performance of decision systems and models and produce clear, understandable visualizations, dashboards and reports with support from the risk analytics team.
Support the risk team with various initiatives and ad hoc projects as required...
Design and implement real-time and offline data architecture for large-scale recommendation systems.
Build scalable and high-performance streaming Lakehouse systems that power feature pipelines, model training, and real-time inference.
Collaborate with ML platform teams to support PyTorch-based model training workflows and design efficient data formats and access patterns for large-scale samples and features....