Research Scientist, Data Management and Security - Infrastructure System Lab

ByteDance • San Jose, CA

91d

About The Position

We are the Infrastructure System Lab - a hybrid research and engineering group building the next-generation AI-native data infrastructure. Our work sits at the intersection of databases, large-scale systems, and AI. We drive innovation across: Next-generation databases: We build VectorDBs and multi-modal AI-native databases designed to support large-scale retrieval and reasoning workloads. AI for Infra: We leverage machine learning to build intelligent algorithms for infrastructure optimization, tuning, and observability. LLM Copilot: We develop LLM-based tooling like NL2SQL, NL2Chart. High-performance cache systems: We develop a multi-engine key-value store optimized for distributed storage workloads. We're also building KV caches for LLM inference at scale. This is a highly collaborative team where researchers and engineers work side-by-side to bring innovations from paper to production. We publish, prototype, and build robust systems deployed across key products used by millions.

Responsibilities

• Research cutting-edge technologies in the field of data management and security.
• Participate in the design and development of innovative data management and security projects, provide technical architecture and implementation plans based on performance, stability, scalability, and security considerations.
• Submit high-quality code and complete development tasks on time according to project schedules.
• Publish papers in top academic conferences (e.g., SIGMOD, VLDB, CCS).

What This Job Offers

• Industry: Publishing Industries
• Number of Employees: 5,001-10,000 employees