Research Scientist Intern (Multi-modal Agentic Databases) - 2027 Start (PhD)

Descripción del puesto:

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. To name a few, we are building a new cloud-native vector index library. Our TextToSQL project ranks top on well known industry benchmarks. We also work on advanced AIOps technologies that are used by our Volcano cloud products. Besides achieving great business impacts, we also encourage publishing on top tier conferences. In year 2025 alone, our lab published nearly 20 papers in top tier conferences, such as SIGMOD, VLDB, FSE, ICLR, EuroSys, WWW etc. We hire students with great technical skills, willingness to learn and solve complex technical challenges and passion in making an impact on millions of users. We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date). Responsibilities - Do research survey and come up with a new system and algorithm design - Develop prototyping systems - Be able to debug systems and measure system performance - Collaborate with mentors and other lab members - Write technical reports and publish papers

Requerimientos del candidato/a:

Minimum Qualifications - Currently pursuing a PhD in Computer Science or related discipline. - Understand how distributed systems work - Great programming skill in one or more of the following programming languages: C/C++, Go, Java or Python - Be able to conduct advanced research under supervision Preferred Qualifications - Strong past research experience in infrastructure system areas - Research experience with LLM