{"schemaVersion":"jobsearcher.job.v1","id":"0eac0c741ded838c942e1fd0","url":"https://jobsearcher.com/jobs/0eac0c741ded838c942e1fd0","canonicalUrl":"https://jobsearcher.com/jobs/0eac0c741ded838c942e1fd0","title":"Research Engineer, RL Post-Training & Environments","description":"Magic seeks a Research Engineer for the RL Research & Environments team to design data, evaluation, and environment systems that enhance model capabilities after pre-training. You will own the infrastructure and experiments linking product priorities to measurable capability gains, with focus on long-context challenges and rapid RL iteration at scale.\nThis role can evolve into ownership of major capability areas or broader post-training strategy as Magic scales long-context model performance and\n\n#J-18808-Ljbffr","company":"Magic","rawCompany":"magic","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-29T03:46:14.698Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Engineer, RL Post-Training & Environments","description":"Magic seeks a Research Engineer for the RL Research & Environments team to design data, evaluation, and environment systems that enhance model capabilities after pre-training. You will own the infrastructure and experiments linking product priorities to measurable capability gains, with focus on long-context challenges and rapid RL iteration at scale.\nThis role can evolve into ownership of major capability areas or broader post-training strategy as Magic scales long-context model performance and\n\n#J-18808-Ljbffr","datePosted":"2026-09-29T03:46:14.698Z","dateModified":"2026-09-29T03:46:14.698Z","hiringOrganization":{"@type":"Organization","name":"Magic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0eac0c741ded838c942e1fd0"},"url":"https://jobsearcher.com/jobs/0eac0c741ded838c942e1fd0"}}