Research Scientist Intern (Multi-modal Agentic Databases) - 2027 Start (PhD)
About the Team
With the fast growth of Bytedance's business, Bytedance's system infrastructure is currently at a massive scale and requires versatile system solutions. Our lab collaborates with HQ teams on advanced R&D projects, focusing on LLM/AI + Infrastructure technologies, which includes both infrastructure for LLM/AI and LLM/AI for infrastructure. Key projects include:
- Building a new cloud-native vector index library
- TextToSQL project, which ranks top on well-known industry benchmarks
- Advanced AIOps technologies used by our Volcano cloud products
Besides achieving great business impacts, we encourage publishing on top-tier conferences. In 2025 alone, our lab published nearly 20 papers in conferences such as SIGMOD, VLDB, FSE, ICLR, EuroSys, and WWW. We hire students with strong technical skills, a willingness to learn, and a passion for solving complex challenges and making an impact on millions of users.
Responsibilities
- Conduct research surveys and propose new system and algorithm designs
- Develop prototyping systems
- Debug systems and measure system performance
- Collaborate with mentors and other lab members
- Write technical reports and publish papers
Qualifications
Minimum Qualifications
- Currently pursuing a PhD in Computer Science or a related discipline
- Understanding of how distributed systems work
- Strong programming skills in one or more of the following: C/C++, Go, Java, or Python
- Ability to conduct advanced research under supervision
Preferred Qualifications
- Strong past research experience in infrastructure system areas
- Research experience with LLM
Benefits
- Day-one access to health insurance, life insurance, and wellbeing benefits
- 10 paid holidays per year
- Paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half)
- Eligibility for housing allowance (if not working 100% remote)
Pay
The hourly rate range for this position is $60–$60.