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 algorithmsBuild training platforms for large-scale agent systemsResearch novel strategies for agent communicationDevelop frameworks for evaluation and benchmarkingCollaborate on deploying scalable learning systemsRequirements:MS or PhD in relevant fields focusing on AIStrong expertise in reinforcement learning and optimizationExperience with distributed infrastructure and simulationsHigh proficiency in Python or C++ programmingDemonstrated success through publications or patentsLead transformative research initiatives by designing and implementing sophisticated agentic learning systems that push the boundaries of AI technologies.#J-18808-Ljbffr

📌 Senior Researcher For Distributed Ai And Agentic Learning Solutions (Markham)
🏢 Huawei Canada
📍 Markham