Senior Researcher Distributed AI and Agentic Learning Solutions

Position: Senior Researcher for Distributed AI and Agentic Learning Solutions
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 innovative 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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