{"schemaVersion":"jobsearcher.job.v1","id":"64974593763bf2aeeecbad42","url":"https://jobsearcher.com/jobs/64974593763bf2aeeecbad42","canonicalUrl":"https://jobsearcher.com/jobs/64974593763bf2aeeecbad42","title":"Machine Learning Engineer","description":"For our client, we are seeking a Machine Learning Engineer to join the team of a leader in the Information Technology space.This role will partner closely with researchers to support experimental workflows and advance the quality of neural network models. The position is focused on evaluating model behavior, surfacing failure modes, and translating experimental findings into clear recommendations. It also requires strong coordination across concurrent workstreams, with thoughtful communication of progress and results to both technical collaborators and external parties.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $150,000 – $250,000 annuallyResponsibilities Collaborate with researchers using existing infrastructure Characterize neural network quality and identify failure modes Stay current on trends in research and technology Coordinate with researchers and provide experiment status updates Manage multiple concurrent experiments and estimate completion timelines Review experimental results and propose improvements Write technical reports for external parties summarizing resultsQualifications Practical optimism in facing experimental challenges Proficiency in Python Ability to excel in a fast-paced environment Strong communication skills for conveying technical concepts Detail-oriented with introspection and thoughtfulnessBenefits Competitive health insurance options 401K plan management Free lunch and stocked kitchen in the South Bay office Monthly wellness stipend and office setup allowance Company retreats and additional perks as the company scales Opportunity to tackle significant, impactful problemsOur 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":"2026-09-01T08:22:38.077Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"For our client, we are seeking a Machine Learning Engineer to join the team of a leader in the Information Technology space.This role will partner closely with researchers to support experimental workflows and advance the quality of neural network models. The position is focused on evaluating model behavior, surfacing failure modes, and translating experimental findings into clear recommendations. It also requires strong coordination across concurrent workstreams, with thoughtful communication of progress and results to both technical collaborators and external parties.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $150,000 – $250,000 annuallyResponsibilities Collaborate with researchers using existing infrastructure Characterize neural network quality and identify failure modes Stay current on trends in research and technology Coordinate with researchers and provide experiment status updates Manage multiple concurrent experiments and estimate completion timelines Review experimental results and propose improvements Write technical reports for external parties summarizing resultsQualifications Practical optimism in facing experimental challenges Proficiency in Python Ability to excel in a fast-paced environment Strong communication skills for conveying technical concepts Detail-oriented with introspection and thoughtfulnessBenefits Competitive health insurance options 401K plan management Free lunch and stocked kitchen in the South Bay office Monthly wellness stipend and office setup allowance Company retreats and additional perks as the company scales Opportunity to tackle significant, impactful problemsOur 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":"2026-09-01T08:22:38.077Z","dateModified":"2026-09-01T08:22:38.077Z","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":"64974593763bf2aeeecbad42"},"url":"https://jobsearcher.com/jobs/64974593763bf2aeeecbad42"}}