About the role
Conduct research on state-of-the-art AI-driven system methods and technologies to identify opportunities for system innovation and acceleration. Develop and implement new methodologies, techniques, and algorithms for improving the performance, efficiency, and scalability of AI-driven systems. Collaborate with cross-functional teams, including hardware and software engineers, data scientists, and product managers, to drive the development and deployment of innovative AI-driven system solutions. Stay current with the latest trends, research, and developments in AI, machine learning, and system architecture to ensure our systems remain at the forefront of innovation. Evaluate the performance of AI-driven systems and provide recommendations for improvement and optimization. Publish research findings in peer-reviewed journals, conferences, and other relevant venues, and present research results to internal and external stakeholders. Mentor and guide other researchers and engineers in their research and development efforts. Collaborate with industry partners and academic institutions to drive joint research projects and initiatives. Doctorate in computer science or relevant field OR equivalent experience Doctorate in relevant field AND 2+ years of related research experience OR equivalent experience. Experience publishing academic papers as a lead author or essential contributor. Experience participating in a top conference in relevant research domain. Background in systems and networking, including experience with machine learning system, database, and networking technologies. Deep knowledge about the latest technical advancements such as Agent Systems, Vector Database, and ML Systems A track record of published research in the field of AI-driven system innovation is a plus.
