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, especia...