Machine Learning Engineers

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 environment.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 frameworksCandidates 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 platformConfigure environmental parameters and define agent interaction rulesTest initial agent behaviors to validate your scenario structureWalk us through your workflow and highlight areas for platform improvement Good Candidature Professional experience in machine learning or artificial intelligence researchHands-on background in building simulations or reinforcement learning environmentsFamiliarity with configuring platform interfaces and defining reward structuresComfortable articulating technical feedback during a remote interview