This study targets professionals with hands-on experience in simulation design and reinforcement learning environments. We welcome machine learning engineers, AI researchers, simulation developers, and technical game designers accustomed to RL frameworks. Candidates should be highly comfortable configuring complex platform interfaces and defining structured agent scenarios.
Design and build specific scenarios within a remote reinforcement learning platform
Configure environmental parameters and define agent interaction rules
Test initial agent behaviors to validate your scenario structure
Walk us through your workflow and highlight areas for platform improvement
Who Should Apply
Professional experience in machine learning or artificial intelligence research
Hands-on background in building simulations or reinforcement learning environments
Familiarity with configuring platform interfaces and defining reward structures
Comfortable articulating technical feedback during a remote interview
