{"schemaVersion":"jobsearcher.job.v1","id":"3e0edb06eccbfa50382cfdea","url":"https://jobsearcher.com/jobs/3e0edb06eccbfa50382cfdea","canonicalUrl":"https://jobsearcher.com/jobs/3e0edb06eccbfa50382cfdea","title":"Machine Learning Engineering Manager, Personalization","description":"For our client, we are seeking a Machine Learning Engineering Manager Personalization 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: $184,049 – $262,928 annuallyResponsibilities Lead, coach, and develop a talented team of machine learning engineers Set the technical strategy in collaboration with Product and Engineering leaders Guide the design and operation of scalable production machine learning systems Provide mentorship and career development support for engineers Facilitate workflow prioritization and remove project obstacles Promote modern software engineering practices and operational excellence Collaborate across teams to influence technical strategy and align objectivesQualifications Experience leading high-performing engineering teams Expertise in building and operating production machine learning systems at scale Proficient with the entire machine learning lifecycle, from experimentation to deployment Familiar with large language models and generative AI applications Strong communication skills across technical and non-technical teams Commitment to fostering inclusive team environmentsBenefits Health insurance coverage Six months paid parental leave 401(k) retirement savings plan Monthly meal allowance 23 days of paid vacation time 13 flexible paid holidays Paid sick 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":"2026-08-14T15:56:57.313Z","occupations":[{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineering Manager, Personalization","description":"For our client, we are seeking a Machine Learning Engineering Manager Personalization 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: $184,049 – $262,928 annuallyResponsibilities Lead, coach, and develop a talented team of machine learning engineers Set the technical strategy in collaboration with Product and Engineering leaders Guide the design and operation of scalable production machine learning systems Provide mentorship and career development support for engineers Facilitate workflow prioritization and remove project obstacles Promote modern software engineering practices and operational excellence Collaborate across teams to influence technical strategy and align objectivesQualifications Experience leading high-performing engineering teams Expertise in building and operating production machine learning systems at scale Proficient with the entire machine learning lifecycle, from experimentation to deployment Familiar with large language models and generative AI applications Strong communication skills across technical and non-technical teams Commitment to fostering inclusive team environmentsBenefits Health insurance coverage Six months paid parental leave 401(k) retirement savings plan Monthly meal allowance 23 days of paid vacation time 13 flexible paid holidays Paid sick 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":"2026-08-14T15:56:57.313Z","dateModified":"2026-08-14T15:56:57.313Z","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":"3e0edb06eccbfa50382cfdea"},"url":"https://jobsearcher.com/jobs/3e0edb06eccbfa50382cfdea"}}