{"schemaVersion":"jobsearcher.job.v1","id":"04ad736fac689bac4c4068a8","url":"https://jobsearcher.com/jobs/04ad736fac689bac4c4068a8","canonicalUrl":"https://jobsearcher.com/jobs/04ad736fac689bac4c4068a8","title":"Machine Learning Engineer","description":"Senior Machine Learning Engineer / Applied Scientist100% Remote (USA) $140,000 - $175,000 Base + Annual Bonus + EquityUS Citizen or Green Card Holder RequiredWe're partnered with a rapidly growing technology company that is solving complex fraud and risk challenges at massive scale. Their machine learning team sits at the core of the business, building production models that directly influence millions of real-time decisions and help protect customers from fraud.This is an opportunity to join a highly technical team where you'll have ownership from experimentation through production, working on large-scale ML systems and developing innovative approaches to fraud detection and risk modeling. You'll collaborate with experienced ML scientists and engineers to solve challenging problems using advanced statistical and machine learning techniques.What You'll Be DoingDesign, develop, and deploy machine learning models focused on fraud detection and risk decisioningOwn the full ML lifecycle, from experimentation and validation through production deploymentWork with massive datasets in distributed computing environmentsDevelop and improve model evaluation frameworks and performance metricsPartner with cross-functional stakeholders to drive measurable business impactWhat We're Looking For4+ years of hands-on Machine Learning experience in a production environmentStrong experience with Python, SQL, and SparkDeep understanding of machine learning, statistics, and experimental designExperience building models from the ground up, not just implementing existing frameworksFraud, risk, payments, or trust & safety experience is requiredPhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is highly preferredWhy It's Worth a ConversationFully remote anywhere in the U.S.Competitive base salary of $140K-$175K (location dependent)Annual performance bonusEquity/stock optionsUnlimited PTOStrong benefits packageOpportunity to work on mission-critical ML systems with direct business impactHigh ownership, high visibility environment where ML is a core business functionIf you're passionate about applying machine learning to real-world fraud and risk problems at scale, I'd love to connect.","company":"Harnham","rawCompany":"harnham","city":"Springfield","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-10-06T03:59:09.192Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Senior Machine Learning Engineer / Applied Scientist100% Remote (USA) $140,000 - $175,000 Base + Annual Bonus + EquityUS Citizen or Green Card Holder RequiredWe're partnered with a rapidly growing technology company that is solving complex fraud and risk challenges at massive scale. Their machine learning team sits at the core of the business, building production models that directly influence millions of real-time decisions and help protect customers from fraud.This is an opportunity to join a highly technical team where you'll have ownership from experimentation through production, working on large-scale ML systems and developing innovative approaches to fraud detection and risk modeling. You'll collaborate with experienced ML scientists and engineers to solve challenging problems using advanced statistical and machine learning techniques.What You'll Be DoingDesign, develop, and deploy machine learning models focused on fraud detection and risk decisioningOwn the full ML lifecycle, from experimentation and validation through production deploymentWork with massive datasets in distributed computing environmentsDevelop and improve model evaluation frameworks and performance metricsPartner with cross-functional stakeholders to drive measurable business impactWhat We're Looking For4+ years of hands-on Machine Learning experience in a production environmentStrong experience with Python, SQL, and SparkDeep understanding of machine learning, statistics, and experimental designExperience building models from the ground up, not just implementing existing frameworksFraud, risk, payments, or trust & safety experience is requiredPhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is highly preferredWhy It's Worth a ConversationFully remote anywhere in the U.S.Competitive base salary of $140K-$175K (location dependent)Annual performance bonusEquity/stock optionsUnlimited PTOStrong benefits packageOpportunity to work on mission-critical ML systems with direct business impactHigh ownership, high visibility environment where ML is a core business functionIf you're passionate about applying machine learning to real-world fraud and risk problems at scale, I'd love to connect.","datePosted":"2026-10-06T03:59:09.192Z","dateModified":"2026-10-06T03:59:09.192Z","hiringOrganization":{"@type":"Organization","name":"Harnham","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"04ad736fac689bac4c4068a8"},"url":"https://jobsearcher.com/jobs/04ad736fac689bac4c4068a8"}}