Environment Engineer – RL / Agent Evaluation
Core
Building large-scale environments and benchmarks for frontier AI labs to test, steer, and safely evaluate reinforcement learning agents.
Role type
Senior IC machine-learning engineer (RL environment design)
Builds
Hyperrealistic simulations and evaluation frameworks for agentic AI systems
Domain
Artificial Intelligence / Reinforcement Learning / Simulation Engineering
Deliverable
production ML models
Required skills
Python, software fundamentals, reinforcement learning, environment dynamics, evaluation loops, browser/API simulations, distributed compute
Preferred skills
experience with open-ended problem spaces, shaping tools for safe AGI progress
Technologies
Playwright, Selenium
Responsibilities
Designing frameworks and pipelines for agentic AI systems to act, learn, and improve through interaction
Seniority
Senior, hands-on IC
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