Catalyze breakthroughs in agentic learning as a Senior Researcher. Develop and optimize multi-agent systems and algorithms for distributed environments that drive practical AI applications.
The role requires creative 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
• Strong 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)
🏢 Huawei Canada
📍 Markham