RL Environments Architect

📋 Description Architect a modular RL environment framework with clear APIs and rewards Establish quality bars: coverage metrics, invariance checks, trace audits Instrument telemetry for episode rollouts; mitigate reward hacking and mode collapse Partner with researchers to translate real-world tasks into robust simulations 🎯 Requirements Simulation & Systems Depth: RL environments or simulators with determinism and observability Data Quality Leadership: design reward functions, scenario taxonomies, QA pipelines Builder's Mindset: collaborate across research and engineering to ship pragmatic environments