{"schemaVersion":"jobsearcher.job.v1","id":"a3f28a8c28f552bbfc4579d5","url":"https://jobsearcher.com/jobs/a3f28a8c28f552bbfc4579d5","canonicalUrl":"https://jobsearcher.com/jobs/a3f28a8c28f552bbfc4579d5","title":"Machine Learning Engineer | $90/hr","description":"Job DescriptionMachine Learning Engineer – Reinforcement Learning Scenario Building\n\nExperience: Professional Machine Learning / AI Research Experience\nJob Type: Contractor\nLocation: United States – Remote\nSchedule: Flexible\nCompensation:$90/hour\n\nRole Overview\nWe 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.\n\nKey Responsibilities\n\n Design and build scenarios within a reinforcement learning platform.\n Configure environmental parameters, spatial constraints, and agent interaction rules.\n Define and work with reward structures.\n Test preliminary agent behavior and validate scenario setup.\n Document your workflow and identify friction points.\n Share technical feedback on platform usability during a remote interview.\n\nKey Requirements\n\n Professional experience in Machine Learning, AI Research, Simulation Development, or related roles.\n Hands-on experience building simulations or reinforcement learning environments.\n Familiarity with RL frameworks, agent behavior, and reward structures.\n Strong analytical and problem-solving skills.\n Comfortable configuring complex technical platforms and interfaces.\n Ability to clearly explain technical workflows and provide feedback during a remote interview.\n\nSelection Process\nStep 1 – Application / Profile Submission\nStep 2 – Profile Screening\nStep 3 – RL Scenario-Building Activity\nStep 4 – Technical Feedback Interview\nStep 5 – Review & Payment","company":"Codefeast","rawCompany":"codefeast","city":"United","state":"WV","isRemote":false,"isActive":false,"createdAt":"2026-10-07T02:07:06.024Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer | $90/hr","description":"Job DescriptionMachine Learning Engineer – Reinforcement Learning Scenario Building\n\nExperience: Professional Machine Learning / AI Research Experience\nJob Type: Contractor\nLocation: United States – Remote\nSchedule: Flexible\nCompensation:$90/hour\n\nRole Overview\nWe 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.\n\nKey Responsibilities\n\n Design and build scenarios within a reinforcement learning platform.\n Configure environmental parameters, spatial constraints, and agent interaction rules.\n Define and work with reward structures.\n Test preliminary agent behavior and validate scenario setup.\n Document your workflow and identify friction points.\n Share technical feedback on platform usability during a remote interview.\n\nKey Requirements\n\n Professional experience in Machine Learning, AI Research, Simulation Development, or related roles.\n Hands-on experience building simulations or reinforcement learning environments.\n Familiarity with RL frameworks, agent behavior, and reward structures.\n Strong analytical and problem-solving skills.\n Comfortable configuring complex technical platforms and interfaces.\n Ability to clearly explain technical workflows and provide feedback during a remote interview.\n\nSelection Process\nStep 1 – Application / Profile Submission\nStep 2 – Profile Screening\nStep 3 – RL Scenario-Building Activity\nStep 4 – Technical Feedback Interview\nStep 5 – Review & Payment","datePosted":"2026-10-07T02:07:06.024Z","dateModified":"2026-10-07T02:07:06.024Z","hiringOrganization":{"@type":"Organization","name":"Codefeast","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United","addressRegion":"WV","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a3f28a8c28f552bbfc4579d5"},"url":"https://jobsearcher.com/jobs/a3f28a8c28f552bbfc4579d5"}}