servability 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.
4. Build algorithm engineering toolchains to accelerate the end-to-end process from experimental algorithm/model development to deployment, improving iteration efficiency.
5. Overhaul platform ecosystem architectures and develop data intelligence assistants.
Qualifications
Minimum Qualifications
- Bachelor's degree or above, majoring in Computer Science, or related fields, with 1+ years of experience in designing and developing large-scale systems.
- Proficiency in at least one programming language (Go/Python/C++) and solid understanding of data structures and algorithms.
- Ability to independently lead the technical design and implementation of complex systems and components.
- Strong product sense, with the ability to balance priorities across requirements, technical solutions, timelines, and delivery quality.
Preferred Qualifications
- Deep understanding of large language models (LLMs), familiarity with LLM principles and applications, and hands-on experience in Agent system design.
- Experience in recommendation/advertising/search systems, or privacy compliance frameworks (GDPR, CCPA).