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

关于这个机会

About 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 team focuses on building advanced multi-modal agentic database products. Our TextToSQL project ranks top on well known industry benchmarks. We also work on building scalable and cost-effective databases that support AI functions and semantic operators. Besides achieving great business impacts, we also encourage publishing on top tier conferences. We regularly publish in top tier conferences, such as SIGMOD, VLDB, ICLR, EuroSys 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 our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. 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 have recently completed a PhD degree in Computer Science or a related discipline. - Understand how distributed systems work, such as distributed storage and database systems. - Great programming skill in one or more of the following programming languages: C/C++, Go, Java or Python Preferred Qualifications - Strong past research experience in infrastructure and database system areas - Research experience with AI and LLM - Strong publication records

内推申请说明

本站为独立内推协助平台。申请会交由管理员核实岗位与内推渠道，不等于已在公司官网投递；薪资、岗位状态和实际招聘流程以官方信息为准。