Found Description
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 Py...
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 Py...
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