Lead the architectural advancements of Agentic AI as a Principal Engineer. Oversee creative 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.

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📌 Principal Engineer for Agentic AI Systems (Markham)
🏢 Huawei Canada
📍 Markham