Machine Learning Engineer – Reinforcement Learning Scenario Building

Experience: Professional Machine Learning / AI Research Experience
Job Type: Contractor
Location: Global (Remote)
Schedule: Adaptable
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

📌 Machine Learning Engineer (India)
🏢 Codefeast
📍 India