Senior Reinforcement Learning Engineer
Nbcuniversal Media, LLC
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 collaborative tools like Jira or Slack
Leverage your expertise in reinforcement learning and environment design to advance NBCUniversal's innovative projects.#J-18808-Ljbffr
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 collaborative tools like Jira or Slack
Leverage your expertise in reinforcement learning and environment design to advance NBCUniversal's innovative projects.#J-18808-Ljbffr
Vacancy posted 1 hour ago
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