Job Description
Machine Learning Engineer – Reinforcement Learning Scenario Building
Experience: Professional Machine Learning / AI Research Experience
Job Type: Contractor
Location: Global (Remote)
Schedule: Flexible
Compensation:$90/hour
Role Overview
We are looking for Machine Learning Engineers, AI Researchers, Simulation Developers, and Technical Game Designers with hands-on experience in reinforcement learning environments and simulation design. You will build and test structured scenarios within a remote reinforcement learning platform, configure environment parameters and reward structures, and provide technical feedback on the platform and workflow.
Key Responsibilities
- Design and build scenarios within a reinforcement learning platform.
- Configure environmental parameters, spatial constraints, and agent interaction rules.
- Define and work with reward structures.
- Test preliminary agent behavior and validate scenario setup.
Key Requirements
- Professional experience in Machine Learning, AI Research, Simulation Development, or related roles.
- Hands-on experience building simulations or reinforcement learning environments.
- Familiarity with RL frameworks, agent behavior, and reward structures.
- Strong analytical and problem-solving skills.
Selection Process
Step 1 – Application / Profile Submission
Step 2 – Profile Screening
Step 3 – RL Scenario-Building Activity
Step 4 – Technical Feedback Interview
Step 5 – Review & Payment
More Info
Key Skills
environment parameters
agent behavior
RL frameworks
reward structures
