Location:

Team: Technology

Employment Type: Regular

Job Code: A

• Design intelligent development toolkits for large-scale recommendation systems, providing tooling and productized solutions to enhance R&D efficiency.
• Develop business metrics-driven gray release systems to ensure safe, stable, and efficient release strategies and workflows.
• Enhance observability of recommendation systems in complex global environments (multi-region, multi-data center, multi-language), establish end-to-end tracing systems, and optimize issue attribution mechanisms.
• Build algorithm engineering toolchains to accelerate the end-to-end process from experimental algorithm/model development to deployment, improving iteration efficiency.
• Overhaul platform ecosystem architectures and develop data intelligence assistants.
• Candidates must be able to commit to an onboarding date by end of year 2026.