The researcher will conduct investigations into machine learning, specifically focusing on code-oriented large language models, agentic systems, reinforcement learning, and reasoning models. The role involves publishing research outcomes in prominent academic conferences and journals. The individual will collaborate with research scientists, research engineers, and engineering teams to integrate research findings into commercial database products. Additionally, the researcher will provide mentorship to intern researchers to support a productive team environment. The work includes building research prototypes and performing empirical studies to validate theoretical models.

Candidates are required to hold a Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in Machine Learning. A proven track record of publishing research in top-tier conferences and journals such as NeurIPS, ICML, ICLR, and ACL is necessary. Applicants must possess the ability to build research prototypes and conduct rigorous empirical studies. Strong verbal and written technical communication skills are required to facilitate cross-team collaboration. Post-Ph.D. industry experience in applying computer science concepts to large-scale software development is considered a beneficial qualification.