{"schemaVersion":"jobsearcher.job.v1","id":"cbb0c0d2dddbbc90cffc6f19","url":"https://jobsearcher.com/jobs/cbb0c0d2dddbbc90cffc6f19","canonicalUrl":"https://jobsearcher.com/jobs/cbb0c0d2dddbbc90cffc6f19","title":"Machine Learning Engineer, Autonomy","description":"For our client, we are seeking a Machine Learning Engineer Autonomy to join the team of a leader in the Enterprise Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a technology-driven environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $113,000 – $202,000 annuallyResponsibilities Design and optimize CVML models and training pipelines for perception tasks Own the full ML development lifecycle, from prototyping to production deployment Collaborate with engineering teams to integrate models into the autonomous tractor initiative Analyze and improve model performance through rigorous testing and data evaluation Apply machine learning techniques to advance autonomous agriculture solutionsQualifications Bachelor's or Master's Degree in Computer Science or a related field; graduate degree preferred 2 years of experience developing high-performance ML systems, focusing on segmentation, depth estimation, and related perception tasks Strong proficiency in Python and PyTorch/TensorFlow Solid understanding of vision and deep learning fundamentals Excellent communication skills for interdisciplinary collaborationBenefits Open to visa sponsorship Fully remote work opportunity in the United States Annual performance bonus eligibility Commitment to diversity and inclusion in the workplace Support for career development and personal growth opportunitiesOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.","company":"Ladders","rawCompany":"ladders","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-25T11:29:27.583Z","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":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer, Autonomy","description":"For our client, we are seeking a Machine Learning Engineer Autonomy to join the team of a leader in the Enterprise Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a technology-driven environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $113,000 – $202,000 annuallyResponsibilities Design and optimize CVML models and training pipelines for perception tasks Own the full ML development lifecycle, from prototyping to production deployment Collaborate with engineering teams to integrate models into the autonomous tractor initiative Analyze and improve model performance through rigorous testing and data evaluation Apply machine learning techniques to advance autonomous agriculture solutionsQualifications Bachelor's or Master's Degree in Computer Science or a related field; graduate degree preferred 2 years of experience developing high-performance ML systems, focusing on segmentation, depth estimation, and related perception tasks Strong proficiency in Python and PyTorch/TensorFlow Solid understanding of vision and deep learning fundamentals Excellent communication skills for interdisciplinary collaborationBenefits Open to visa sponsorship Fully remote work opportunity in the United States Annual performance bonus eligibility Commitment to diversity and inclusion in the workplace Support for career development and personal growth opportunitiesOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.","datePosted":"2026-08-25T11:29:27.583Z","dateModified":"2026-08-25T11:29:27.583Z","hiringOrganization":{"@type":"Organization","name":"Ladders","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cbb0c0d2dddbbc90cffc6f19"},"url":"https://jobsearcher.com/jobs/cbb0c0d2dddbbc90cffc6f19"}}