As a Machine Learning Research Scientist, you will conduct cutting-edge research in areas like Code LLMs, Agentic Systems, and Reinforcement Learning, publishing your findings in top-tier conferences. You will also collaborate with engineering teams to translate research into commercial products and mentor intern researchers.
About the role
About the Role
We seek an exceptional researcher specializing in Machine Learning with particular expertise in areas such as Code-oriented LLMs, Agentic Systems, Reinforcement Learning and Reasoning Models. The ideal candidate will demonstrate a strong track record of publishing in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL). We are looking to speak to candidates who are based in Sydney for our hybrid working model.
Responsibilities
Conduct cutting-edge research in Machine Learning in areas such as Code LLMs, Reasoning Models, Agentic Systems and Reinforcement Learning
Publish influential research outcomes in top-tier Machine Learning conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
Collaborate closely with other Research Scientists and Research Engineers, as well as our Engineering teams to translate cutting-edge research into practical solutions applicable in commercial database products
Mentor intern researchers, fostering a collaborative and productive research environment
Qualifications
Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in Machine Learning
Proven track record of impactful research publications in top-tier Machine Learning conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
Post-PhD industry experience of applying computer science concepts to large scale software development problems is a plus
Experience in building research prototypes and conducting rigorous empirical studies to validate theoretical models
Excellent technical communication skills, verbal and written, with the ability to collaborate across teams