NBCUniversal is seeking a Senior Reinforcement Learning Engineer with a background in developing virtual training environments. Focus on simulating environments and enhancing agent performance in real-world conditions.

In this pivotal role, you will design and optimize high-fidelity simulation environments for training autonomous agents. Your experience in reinforcement learning will help shape complex reward structures and policies crucial for navigating multi-sensor landscapes. Collaborate with cross-functional teams to specify necessary data and simulation requirements within this innovative media and entertainment company.

Key Responsibilities:
• Coordinate with ML and Annotation engineers for project specifications
• Develop and manage 2D/3D simulation environments using Unity or Unreal




• Design intricate reward functions to meet product goals
• Implement RL algorithms like PPO or SAC for high-dimensional spaces
• Address reality gaps with domain adaptation techniques

Requirements:
• Master’s or PhD in Robotics, AI, or Computer Science
• Proven experience as an RL Engineer in dynamic environments
• Background in robotics, aerospace, or game development
• Proficiency with Python, Git, and Unix environments
• Familiarity with team-oriented tools like Jira or Slack

Leverage your expertise in reinforcement learning and environment design to advance NBCUniversal's innovative projects.
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📌 Senior Reinforcement Learning Engineer (Quebec City)
🏢 NBCUniversal
📍 Quebec City