Lead the architectural advancements of Agentic AI as a Principal Engineer. Oversee innovative projects in reinforcement learning and multi-agent systems to create scalable solutions. You will act as a vision setter for next-gen AI technologies. The role focuses on crafting high-performance environments for Agentic RL, identifying industry challenges, and fostering academic engagements. Your influence will extend through impactful research and system deployments. Key Responsibilities: Define strategies for deep learning architectures Develop agent training substrates for large-scale systems Address communication and learning efficiency issues Drive collaborations across academia and industry Implement evaluation frameworks for large-scale deployments Requirements: MS or PhD in a relevant discipline Expertise in reinforcement learning and optimization Experience in building distributed ML training systems Strong coding skills, especially in Python or C++ Significant research contributions or patents Advance the future of AI by orchestrating the development of robust, distributed systems for next-generation Agentic technologies. #J-18808-Ljbffr
Job Title
Principal Engineer for Agentic AI Systems