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

Description du poste:

About the Team Join ByteDance's database R&D team, where you'll build and own cutting-edge database products supporting ByteDance's global infrastructure. Our diverse portfolio includes relational databases, distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, and multi-model databases. About the Role We are building the next-generation AI-native database systems-intelligent, multimodal, and designed for the era of large models. Our systems are not just data stores; they're reasoning engines, retrieval platforms, and real-time memory for AI agents. As a Software Engineer or Researcher, you will be at the forefront of rethinking how databases work when built from the ground up for AI workloads. You'll help create infrastructure that powers intelligent systems across TikTok, CapCut, and future applications that haven't been imagined yet. 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 - 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

Profil requis du candidat:

Minimum 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