RL Environments Architect

As an RL Environments Architect, the full-time remote position will design and govern simulated worlds for agent learning, focusing on crafting standards for data quality and reproducibility while developing modular environment frameworks and telemetry systems. Key responsibilities Architect a modular environment framework with clear APIs and configurable reward/termination schemas Establish quality bars including coverage metrics and trace audits for environment outputs Partner with researchers to translate real-world tasks into robust simulations and evaluation suites Required qualifications Experience building RL environments or simulators with a focus on determinism and performance Strong instincts for designing reward functions and QA pipelines that ensure signal alignment Ability to collaborate across research and engineering to develop testable environments