Multi-agent Reinforcement Learning Specialist - PT - WW

Role Overview

We are seeking a skilled Multi-agent Reinforcement Learning Specialist to join our team. In this role, you will focus on developing and implementing advanced reinforcement learning algorithms in a multi-agent environment. Your work will contribute to cutting-edge projects that leverage AI to optimize complex systems.

Responsibilities

• Develop and implement reinforcement learning algorithms tailored for multi-agent systems.
• Collaborate with cross-functional teams to integrate learning algorithms into existing systems.
• Analyze and interpret the performance of algorithms to refine and enhance their effectiveness.
• Stay updated with the latest research and advancements in reinforcement learning and AI.

Required Skills

• Strong understanding of reinforcement learning principles and techniques.
• Experience with multi-agent systems and their unique challenges.
• Proficiency in programming languages such as Python and familiarity with relevant libraries like TensorFlow or PyTorch.

Nice to Have

• Experience with simulation environments used in reinforcement learning.
• Familiarity with game theory and its applications to multi-agent scenarios.