{"schemaVersion":"jobsearcher.job.v1","id":"51eca8d4ae023cae96041a98","url":"https://jobsearcher.com/jobs/51eca8d4ae023cae96041a98","canonicalUrl":"https://jobsearcher.com/jobs/51eca8d4ae023cae96041a98","title":"Machine Learning Engineer (Remote)","description":"Machine Learning Engineer (Remote) StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.We're looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.StackAdapt is a remote-first company with teams around the world. Our teams work in a fully distributed environment, and we are open to candidates based in Canada and the United States. This role will remain open until February 20, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.What You'll Be Doing: Design modular and scalable real time data pipelines to handle huge datasetsUnderstand and implement custom ML algorithms in a low latency environmentWork on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrentlyWhat You'll Bring To The Table: Have the ability to take an ambiguously defined task, and break it down into actionable stepsHave deep understanding of algorithm and software design, concurrency, and data structuresExperience in implementing probabilistic or machine learning algorithmsInterest in designing scalable distributed systemsA high GPA from a well-respected Computer Science programEnjoy working in a friendly, collaborative environment with othersStackAdapt's Enjoy: Highly competitive salaryRetirement/ 401K/ Pension Savings globallyCompetitive Paid time off packages including birthday's off!Access to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home office and hubs in London and TorontoRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, books etc)Access to StackAdapt programmatic courses and certifications to support continuous learningAn awesome parental leave programA friendly, welcoming, and supportive cultureOur social and team events!Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.","company":"Stackadapt","rawCompany":"stackadapt","city":"New York","state":"NY","isRemote":true,"isActive":false,"createdAt":"2026-06-02T23:58:25.808Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"561320","title":"Temporary Help Services","slug":"temporary-help-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer (Remote)","description":"Machine Learning Engineer (Remote) StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.We're looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.StackAdapt is a remote-first company with teams around the world. Our teams work in a fully distributed environment, and we are open to candidates based in Canada and the United States. This role will remain open until February 20, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.What You'll Be Doing: Design modular and scalable real time data pipelines to handle huge datasetsUnderstand and implement custom ML algorithms in a low latency environmentWork on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrentlyWhat You'll Bring To The Table: Have the ability to take an ambiguously defined task, and break it down into actionable stepsHave deep understanding of algorithm and software design, concurrency, and data structuresExperience in implementing probabilistic or machine learning algorithmsInterest in designing scalable distributed systemsA high GPA from a well-respected Computer Science programEnjoy working in a friendly, collaborative environment with othersStackAdapt's Enjoy: Highly competitive salaryRetirement/ 401K/ Pension Savings globallyCompetitive Paid time off packages including birthday's off!Access to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home office and hubs in London and TorontoRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, books etc)Access to StackAdapt programmatic courses and certifications to support continuous learningAn awesome parental leave programA friendly, welcoming, and supportive cultureOur social and team events!Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.","datePosted":"2026-06-02T23:58:25.808Z","dateModified":"2026-06-02T23:58:25.808Z","hiringOrganization":{"@type":"Organization","name":"Stackadapt","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"51eca8d4ae023cae96041a98"},"url":"https://jobsearcher.com/jobs/51eca8d4ae023cae96041a98"}}