{"schemaVersion":"jobsearcher.job.v1","id":"36b634602f805f66d5566bcd","url":"https://jobsearcher.com/jobs/36b634602f805f66d5566bcd","canonicalUrl":"https://jobsearcher.com/jobs/36b634602f805f66d5566bcd","title":"Machine Learning Engineer – RL","description":"Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.\n\nThis is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.\n\nJob Title: Machine Learning Engineer – RL\nLocation: 100% Remote (U.S.)\nPosition Type: Full-time, Direct W2\nSalary Range: $155,000–$180,000 Annually\nExperience Required: 6+ years\n\nSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.\n\nJob Summary:\nWe are looking for a Machine Learning Engineer - RL to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.\n\nRequired Qualifications\nMaster’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.\nSix or more years of combined RL research and engineering experience.\nStrong proficiency in Python and modern deep learning frameworks.\nHands-on experience with at least one major RL library or in-house RL stack.\nSolid understanding of probability, optimization, and the theoretical foundations of RL.\nExperience designing and tuning reward functions in non-trivial environments.\nFamiliarity with simulation environments and large-scale experience collection.\nExperience training neural network policies on GPU clusters.\nStrong written and verbal communication skills.\nTrack record of shipping or publishing impactful RL work.\n\nPreferred Qualifications\nExperience with RLHF for large language models.\nFamiliarity with multi-agent RL or hierarchical RL.\nExposure to robotics, control systems, or autonomous driving.\nPublications in RL or related research venues.\nOpen-source contributions to RL libraries or environments.\n\nHow to Apply\n\nWould you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.\n\nBright Vision Technologies is an Equal Opportunity Employer.\nEqual Employment Opportunity (EEO) Statement\nBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.\nYCOcog6hGh","company":"Brightvisiontechnologies","rawCompany":"brightvisiontechnologies","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T00:13:46.593Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer – RL","description":"Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.\n\nThis is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.\n\nJob Title: Machine Learning Engineer – RL\nLocation: 100% Remote (U.S.)\nPosition Type: Full-time, Direct W2\nSalary Range: $155,000–$180,000 Annually\nExperience Required: 6+ years\n\nSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.\n\nJob Summary:\nWe are looking for a Machine Learning Engineer - RL to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.\n\nRequired Qualifications\nMaster’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.\nSix or more years of combined RL research and engineering experience.\nStrong proficiency in Python and modern deep learning frameworks.\nHands-on experience with at least one major RL library or in-house RL stack.\nSolid understanding of probability, optimization, and the theoretical foundations of RL.\nExperience designing and tuning reward functions in non-trivial environments.\nFamiliarity with simulation environments and large-scale experience collection.\nExperience training neural network policies on GPU clusters.\nStrong written and verbal communication skills.\nTrack record of shipping or publishing impactful RL work.\n\nPreferred Qualifications\nExperience with RLHF for large language models.\nFamiliarity with multi-agent RL or hierarchical RL.\nExposure to robotics, control systems, or autonomous driving.\nPublications in RL or related research venues.\nOpen-source contributions to RL libraries or environments.\n\nHow to Apply\n\nWould you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.\n\nBright Vision Technologies is an Equal Opportunity Employer.\nEqual Employment Opportunity (EEO) Statement\nBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.\nYCOcog6hGh","datePosted":"2026-08-05T00:13:46.593Z","dateModified":"2026-08-05T00:13:46.593Z","hiringOrganization":{"@type":"Organization","name":"Brightvisiontechnologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"36b634602f805f66d5566bcd"},"url":"https://jobsearcher.com/jobs/36b634602f805f66d5566bcd"}}