Research Scientist Intern (Distributed NoSQL Database Systems) - 2027 Start (PhD) at ByteDance

Seniority: Intern

ByteDance is a technology company developing products and infrastructure that support global content and intelligent applications. The Research Scientist Intern will contribute to next-generation AI-native distributed database systems by developing kernel features, solving complex cloud infrastructure problems, collaborating on backend database services, and participating in technical discussions.

Responsibilities

• Develop kernel modules or features for AI-native database systems
• Solve unique, large-scale, highly complex cloud infrastructure problems
• Partner with PMs and engineers from different teams on building backend support for AI-native database service products
• Participate in technical discussions related to team's product and engineering work

Qualifications

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

Preferred Qualifications

• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
• Curiosity towards new technologies and entrepreneurship
• High levels of creativity and quick problem-solving capabilities
• Experience with open-source systems such as Faiss, Milvus, DuckDB, ClickHouse, TiKV, RocksDB
• Publications at conferences (e.g., SIGMOD, VLDB, NeurIPS, MLSys, ICDE)
• Familiarity with GCP, AWS, or Azure's database and AI integration strategies
• Prior contributions to RAG, memory-augmented models, or self-tuning database components

Skills

• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
• Curiosity towards new technologies and entrepreneurship
• High levels of creativity and quick problem-solving capabilities
• Experience with open-source systems such as Faiss, Milvus, DuckDB, ClickHouse, TiKV, RocksDB
• Publications at conferences (e.g., SIGMOD, VLDB, NeurIPS, MLSys, ICDE)
• Familiarity with GCP, AWS, or Azure's database and AI integration strategies
• Prior contributions to RAG, memory-augmented models, or self-tuning database components

Tech stack

Database Kernel Development, Distributed Systems, Query Processing and Optimization, Multithreaded Programming, C/C++, Golang, Java, Python, Faiss, Milvus, DuckDB, ClickHouse, TiKV, RocksDB

Benefits

• Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
• Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Interns who are not working 100% remote may also be eligible for housing allowance.