Research Engineer / Scientist -AI for Databases

ByteDance • San Jose, CA

85d

About The Position

The Infrastructure System Lab is a hybrid research and engineering team dedicated to building the next generation of AI-native data infrastructure. Operating at the crossroads of databases, large-scale systems, and AI, the team innovates across multiple domains, including advanced VectorDBs and multi-modal databases for large-scale retrieval and reasoning, intelligent infrastructure optimization using machine learning, LLM-based developer tools like NL2SQL and NL2Chart, and high-performance cache systems for distributed storage and LLM inference. The lab is deeply collaborative, with researchers and engineers working side by side to turn groundbreaking ideas into production-ready systems. Their work is deployed at scale, powering products used by millions, and frequently shared through publications and open-source contributions.

Responsibilities

• Conduct research and development in applying AI/ML techniques to database management systems.
• Develop intelligent algorithms for tasks such as query planning, indexing, storage management, and workload prediction/scheduling.
• Collaborate with data infrastructure and engineering teams to integrate AI models into production systems.
• Analyze large-scale datasets from database workloads to uncover optimization opportunities.
• Publish findings in top-tier conferences and journals (VLDB, SIGMOD, ICDE, NeurIPS, etc.).
• Contribute to open-source projects or internal tools supporting AI-enhanced databases.

Benefits

• Competitive compensation
• Strong research support
• Innovation-driven environment
• Opportunities to publish
• Contribute to open-source
• Attend leading conferences

What This Job Offers

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