Catalyze breakthroughs in agentic learning as a Senior Researcher. Develop and optimize multi-agent systems and algorithms for distributed settings that drive practical AI applications.

The role requires cutting-edge design and development of Agentic RL solutions. You’ll enhance large-scale agent training platforms while ensuring effective coordination and learning in multi-agent settings. Collaborating with various teams, you will transform advanced research into operational systems.

Key Responsibilities:
Design and optimize reinforcement learning algorithms
Build training platforms for large-scale agent systems
Research novel strategies for agent communication
Develop frameworks for evaluation and benchmarking




Collaborate on deploying scalable learning systems

Requirements:
MS or PhD in relevant fields focusing on AI
Solid expertise in reinforcement learning and optimization
Experience with distributed infrastructure and simulations
High proficiency in Python or C++ programming
Demonstrated success through publications or patents

Lead transformative research initiatives by designing and implementing sophisticated agentic learning systems that push the boundaries of AI technologies.
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📌 Senior Researcher For Distributed Ai And Agentic Learning Solutions Markham (Canada)
🏢 Huawei Canada
📍 Canada