Research Scientist Graduate (Multi-modal Agentic Databases)- 2027 Start (PHD)

关于这个机会

With the fast growth of ByteDance's business, ByteDance's system infrastructure is currently at a massive scale and requires versatile system solutions. Our team works 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, our TextToSQL project ranks top on well known industry benchmarks. We also work on advanced multimodal data processing technologies using LLM, such as scalable and efficient semantic operators and AI functions. Besides achieving great business impacts, we also encourage publishing on top tier conferences. In year 2025 alone, our team 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. With the large-scale deployment of large language models (LLMs) and AI Agents, traditional cloud-native infrastructure can no longer meet the extreme performance and elasticity demands of AI workloads. We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance. Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume Responsibilities: - Do research surveys and come up with a new system and algorithm design. - Develop new systems and successfully land them into production environments - Be able to debug systems and measure system performance. - Collaborate with mentors and other lab members. - Write technical reports and publish papers.

任职要求

Minimum Qualifications: - Individuals who are completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Skilled in at least one mainstream programming language (e.g., C/C++, Python, Go), with strong coding ability, data structures, and algorithm fundamentals. - Be able to independently design and develop complex systems - Deliver design documents, independent deliverables, and demo systems - Be familiar with state-of-the-art data management technologies Preferred Qualifications: - Strong learning ability and self-motivation. Good teamwork and communication skills. - Excellent problem analysis and solving abilities. - Capable of independently exploring solutions. Strong mental resilience and adaptability when facing challenges. - Have research experience in LLMs and infrastructure is highly preferred - Have published at least two papers as first authors in conferences or journals such as SIGMOD, VLDB, ASE, FSE, NSDI/OSDI, EuroSys etc.

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