{"schemaVersion":"jobsearcher.job.v1","id":"5751d8c103928131cf1b7a89","url":"https://jobsearcher.com/jobs/5751d8c103928131cf1b7a89","canonicalUrl":"https://jobsearcher.com/jobs/5751d8c103928131cf1b7a89","title":"ML Engineer","description":"CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies.\r\nWe're on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It's been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles.\r\nWe\\'re seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let\\'s transform the industry together!\r\nMachine Learning Engineer, Applied AI\r\nAs a MLE you\\'ll join our Product Innovations team and work across the full applied ML stack - deploying models, building the evaluation systems that tell us whether they actually work, and making the data and infrastructure decisions that turn experimental data science into cost-efficient products. You\\'ll partner closely with our Data Science and Engineering teams on our vector embeddings ecosystem, ground truth pipelines, model evaluation, and the pre/post-processing decisions that determine product quality.\r\nThis is a production focused role, with some research opportunities. You\\'ll be the engineer who makes sure our ML systems - both traditional NLP and embedding models and our LLM-powered features - work reliably at scale (millions of records per day), are continuously evaluated against ground truth, and improve over time.\r\nWhat You\\'ll Do#J-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-13T02:15:24.609Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"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":"ML Engineer","description":"CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies.\r\nWe're on a mission to make businesses more human, and humans more impactful. 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Be a part of our dynamic team and let\\'s transform the industry together!\r\nMachine Learning Engineer, Applied AI\r\nAs a MLE you\\'ll join our Product Innovations team and work across the full applied ML stack - deploying models, building the evaluation systems that tell us whether they actually work, and making the data and infrastructure decisions that turn experimental data science into cost-efficient products. You\\'ll partner closely with our Data Science and Engineering teams on our vector embeddings ecosystem, ground truth pipelines, model evaluation, and the pre/post-processing decisions that determine product quality.\r\nThis is a production focused role, with some research opportunities. 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