Machine Learning Engineers: Scenario Building for Reinforcement Learning [$90 per hour] AI researchers and machine learning engineers to participate in building worlds within a reinforcement learning platform

How It Works

- The candidate will design and construct specific scenarios for reinforcement learning agents.
- You will configure environmental parameters, define spatial constraints, and run preliminary agent interactions to test your setup.

- You will document your workflow and note any friction points encountered while structuring the workplace.
- Finally, you will participate in an interview to share your feedback on the platform's overall usability.

Who This Is For

- Professionals with hands-on experience in simulation design and reinforcement learning environments
- 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.

Role Responsibilities

- 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

Good Candidature

- 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

📌 Machine Learning Engineers (Canada)
🏢 Great Value Hiring
📍 Canada