FeatureStore R&D Engineer

1. Participate in the design and development of ML/AI scenario data management solutions within the company, including machine learning samples and multi-modal data scenarios 2. Participate in the research and development of FeatureStore storage core capabilities and engine integration optimization to solve performance/efficiency issues in ultra-large-scale scenarios 3. Participate in platformization and other capability building.

1. Bachelor degree or above, computer-related major is preferred 2. Proficient in C++/Java/Python and other programming languages 3. Applicants with experience in kernels or related storage engines such as Iceberg/Hudi/Paimon are preferred 4. Familiar with common distributed computing frameworks (such as Spark/Flink, etc.), and machine learning related background is preferred.