Research Scientist Intern — Distributed AI-DB Systems

Bytedance; San Jose (CA); On-site; USD 68,000 - 97,000; Part time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick time

Housing allowance

Job summary

ByteDance invites a Research Scientist Intern (Distributed NoSQL Database Systems) for a 2027 start in San Jose. The role sits in Infrastructure and focuses on AI-native database systems, kernel features, and collaboration across teams to advance backend support.

The intern position offers health and wellbeing benefits, holidays, and housing allowances where applicable. Ideal candidates are pursuing a PhD in CS/CE with strong knowledge of databases, distributed systems, and multi-threaded

Qualifications

• Currently pursuing a PhD in Computer Science, Computer Engineering, or related discipline.
• Knowledge of database kernel, distributed system, 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.
• Solve large-scale cloud infrastructure problems.
• Partner with PMs and engineers to build backend support for AI-native database service products.
• Participate in technical discussions related to the team’s product and engineering work.

Skills

PhD experience in CS/CE

Database kernel knowledge

Distributed systems

Query processing & optimization

Multi-threaded programming

C/C++

Golang

Java

Python

Education

PhD candidate in Computer Science/Engineering

Tools

Faiss

Milvus

DuckDB

ClickHouse

TiKV

RocksDB

Job description

ByteDance invites a Research Scientist Intern (Distributed NoSQL Database Systems) for a 2027 start in San Jose. The role sits in Infrastructure and focuses on AI-native database systems, kernel features, and collaboration across teams to advance backend support.

The intern position offers health and wellbeing benefits, holidays, and housing allowances where applicable. Ideal candidates are pursuing a PhD in CS/CE with strong knowledge of databases, distributed systems, and multi-threaded