Machine Learning Engineer (Remote)

<div class="content-intro"><p>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.</p></div><div class="section page-centered"> <div class="section page-centered"> <div class="section page-centered"> <div>We're looking to add a&nbsp;<strong>Machine Learning Engineer</strong> 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.</div> <div>&nbsp;</div> <div><strong>StackAdapt is a remote-first company with teams around the world.</strong> Our teams work in a fully distributed environment, and we are open to candidates based in the UK, Ireland or Germany.</div> <div>&nbsp;</div> <div><strong data-stringify-type="bold">This role will remain open until February 27, 2026</strong>. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.</div> <div>&nbsp;</div> <div>Want to learn more about our Data Science Team: <a class="postings-link" href="https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/">https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/</a></div> <div>Learn more about our team culture here: <a class="postings-link" href="https://www.stackadapt.com/careers/data-science">https://www.stackadapt.com/careers/data-science</a></div> <div>Watch our talk at Amazon Tech Talks: <a class="postings-link" href="https://www.youtube.com/watch?v=lRqu-a4gPuU">https://www.youtube.com/watch?v=lRqu-a4gPuU</a></div> </div> <div class="section page-centered" data-qa="preview-list-item-0"> <h3 data-qa="preview-list-item-0-text">What you'll be doing:</h3> <ul> <li>Design modular and scalable real time data pipelines to handle huge datasets</li> <li>Understand and implement custom ML algorithms in a low latency environment</li> <li>Work on microservice architectur