Research Scientist Graduate (Multi-modal Agentic Databases) - 2027 Start (PhD)
ByteDance, San Jose, California
The team
With the fast growth of Bytedance's business, Bytedance's system infrastructure is currently at a massive scale and requires versatile system solutions. With the large-scale deployment of large language models (LLMs) and AI Agents, traditional cloud-native infrastructure can no longer meet the extreme performance and elasticity demands of AI workloads. Our team works on advanced R&D projects in building multi-modal agentic database infrastructure, focusing on:
- Multi-modal query processing: Support seamlessly integrated multi-modal query processing, including vector, full-text and regular SQL query processing over various typed data. In addition, how to support large scale semantic operators in a cost-effective and low-latency way is also our research focus.
What you will do
- Do research surveys and come up with a new system and algorithm design.