{"schemaVersion":"jobsearcher.job.v1","id":"7be2301f3435445a09deb232","url":"https://jobsearcher.com/jobs/7be2301f3435445a09deb232","canonicalUrl":"https://jobsearcher.com/jobs/7be2301f3435445a09deb232","title":"Senior Machine Learning Infrastructure Engineer, Embedding Platform","description":"For our client, we are seeking a Senior Machine Learning Infrastructure Engineer Embedding Platform to join the team of a leader in the Media 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 Media environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $190,800 – $267,100 annuallyResponsibilities Design and enhance large-scale ML platforms for recommendations and personalization Own and deliver critical ML components from conceptualization to production Build and optimize comprehensive ML pipelines covering data preparation to deployment Enhance distributed training and model efficiency for online inference Implement modern modeling techniques tailored to the company’s unique use cases Establish reliable patterns for serving and monitoring production ML systems Collaborate with cross-functional teams to drive user experience enhancements Conduct rigorous evaluations and improve models through feedback loops Ensure engineering quality through thorough code and design practicesQualifications 5+ years in machine learning engineering focusing on large-scale systems Expert in deep learning architectures, specifically sequence and foundational models Experience with building or scaling ML platforms in high-traffic environments Ability to independently manage ambiguous technical projects with quality implementation Understanding of advanced distributed training and inference concepts Proficiency in Python and experience with frameworks like PyTorch or TensorFlow Solid software engineering fundamentals including system design and performance optimization Familiarity with A/B testing and real-time feedback in production systemsBenefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs tailored to lifestyle and professional growth Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental LeaveOur 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":"2026-08-22T12:05:10.115Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Infrastructure Engineer, Embedding Platform","description":"For our client, we are seeking a Senior Machine Learning Infrastructure Engineer Embedding Platform to join the team of a leader in the Media 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 Media environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $190,800 – $267,100 annuallyResponsibilities Design and enhance large-scale ML platforms for recommendations and personalization Own and deliver critical ML components from conceptualization to production Build and optimize comprehensive ML pipelines covering data preparation to deployment Enhance distributed training and model efficiency for online inference Implement modern modeling techniques tailored to the company’s unique use cases Establish reliable patterns for serving and monitoring production ML systems Collaborate with cross-functional teams to drive user experience enhancements Conduct rigorous evaluations and improve models through feedback loops Ensure engineering quality through thorough code and design practicesQualifications 5+ years in machine learning engineering focusing on large-scale systems Expert in deep learning architectures, specifically sequence and foundational models Experience with building or scaling ML platforms in high-traffic environments Ability to independently manage ambiguous technical projects with quality implementation Understanding of advanced distributed training and inference concepts Proficiency in Python and experience with frameworks like PyTorch or TensorFlow Solid software engineering fundamentals including system design and performance optimization Familiarity with A/B testing and real-time feedback in production systemsBenefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs tailored to lifestyle and professional growth Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental LeaveOur 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":"2026-08-22T12:05:10.115Z","dateModified":"2026-08-22T12:05:10.115Z","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":"7be2301f3435445a09deb232"},"url":"https://jobsearcher.com/jobs/7be2301f3435445a09deb232"}}