{"schemaVersion":"jobsearcher.job.v1","id":"5cc201cc92ac9f7e058b6831","url":"https://jobsearcher.com/jobs/5cc201cc92ac9f7e058b6831","canonicalUrl":"https://jobsearcher.com/jobs/5cc201cc92ac9f7e058b6831","title":"Machine Learning Engineer – RL","description":"This is a Fully Remote JobAbout Our Client:The organization is a technology consulting and software development firm specializing in cloud, AI, data, and enterprise solutions across the United States. It addresses the challenge of delivering advanced technology services and software to meet diverse client needs within these domains.About the Opportunity:The MACHINE LEARNING ENGINEER – RL is responsible for designing, training, and deploying reinforcement learning (RL) systems to solve complex decision-making problems where supervised learning is insufficient. This role ensures the effective application of RL algorithms in production environments, focusing on stability, safety, and continuous improvement of deployed solutions.Responsibilities:Design and develop reinforcement learning-based systems for high-impact decision problemsTrain and deploy RL models, managing engineering challenges associated with scalability and evaluationBuild and tune reward models in complex environmentsUtilize simulation environments and large-scale data collection to support model trainingWork with GPU clusters to train neural network policiesCollaborate to transition RL solutions from research to production, ensuring robustness and safetyRequirements:Master’s or PhD in Computer Science, Machine Learning, or related field, or equivalent applied experienceSix or more years of combined RL research and engineering experienceProficiency in Python and modern deep learning frameworksExperience with at least one major RL library or in-house RL stackStrong understanding of probability, optimization, and RL theoretical foundationsExperience designing reward functions in complex environmentsFamiliarity with simulation environments and large-scale experience collectionExperience training neural network policies on GPU clustersStrong written and verbal communication skillsProven record of delivering impactful RL projects or publicationsPay Range and Compensation Package:Salary Range: $155,000 to $180,000 annuallyEqual Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note:TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.","company":"Talenthop","rawCompany":"talenthop","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-05T07:48:22.429Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer – RL","description":"This is a Fully Remote JobAbout Our Client:The organization is a technology consulting and software development firm specializing in cloud, AI, data, and enterprise solutions across the United States. It addresses the challenge of delivering advanced technology services and software to meet diverse client needs within these domains.About the Opportunity:The MACHINE LEARNING ENGINEER – RL is responsible for designing, training, and deploying reinforcement learning (RL) systems to solve complex decision-making problems where supervised learning is insufficient. This role ensures the effective application of RL algorithms in production environments, focusing on stability, safety, and continuous improvement of deployed solutions.Responsibilities:Design and develop reinforcement learning-based systems for high-impact decision problemsTrain and deploy RL models, managing engineering challenges associated with scalability and evaluationBuild and tune reward models in complex environmentsUtilize simulation environments and large-scale data collection to support model trainingWork with GPU clusters to train neural network policiesCollaborate to transition RL solutions from research to production, ensuring robustness and safetyRequirements:Master’s or PhD in Computer Science, Machine Learning, or related field, or equivalent applied experienceSix or more years of combined RL research and engineering experienceProficiency in Python and modern deep learning frameworksExperience with at least one major RL library or in-house RL stackStrong understanding of probability, optimization, and RL theoretical foundationsExperience designing reward functions in complex environmentsFamiliarity with simulation environments and large-scale experience collectionExperience training neural network policies on GPU clustersStrong written and verbal communication skillsProven record of delivering impactful RL projects or publicationsPay Range and Compensation Package:Salary Range: $155,000 to $180,000 annuallyEqual Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note:TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.","datePosted":"2026-11-05T07:48:22.429Z","dateModified":"2026-11-05T07:48:22.429Z","hiringOrganization":{"@type":"Organization","name":"Talenthop","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5cc201cc92ac9f7e058b6831"},"url":"https://jobsearcher.com/jobs/5cc201cc92ac9f7e058b6831"}}