AI-Driven Distributed DB Research Intern (PhD)

ByteDance; San Jose (CA); On-site; USD 68,000 - 97,000; Full time

Job summary

ByteDance is seeking a PhD intern for its database R&D team in California. You will help build AI-native database systems powering TikTok, CapCut, and future applications.

This internship offers hands-on research, collaboration with industry experts, and opportunities to contribute to cutting-edge systems. You will work on kernel development, distributed storage, and backend services, with mentors guiding your contributions during the internship.

Qualifications

• Currently pursuing a PhD in Computer Science, Computer Engineering, or related discipline.
• Knowledge of database kernel, distributed systems, query processing and optimization, and multi-threaded programming.
• Experience coding in C/C++, Golang, Java, Python.

Responsibilities

• Develop kernel modules or features for AI-native database systems.
• Address large-scale cloud infrastructure challenges.
• Collaborate with PMs and engineers on backend support for AI-native services.
• Participate in technical discussions related to team's product and engineering work

Skills

Database kernel

Distributed systems

Query processing

Multithreading

C/C++

Golang

Java

Python

Education

PhD in CS / related

Tools

Faiss

Milvus

DuckDB

ClickHouse

TiKV

RocksDB

Job description

ByteDance is seeking a PhD intern for its database R&D team in California. You will help build AI-native database systems powering TikTok, CapCut, and future applications.

This internship offers hands-on research, collaboration with industry experts, and opportunities to contribute to cutting-edge systems. You will work on kernel development, distributed storage, and backend services, with mentors guiding your contributions during the internship.