Machine Learning Engineer (Remote)

<div class=&quot;content-intro&quot;><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=&quot;section page-centered&quot;> <div class=&quot;section page-centered&quot;> <div class=&quot;section page-centered&quot;> <div>We&#39;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&#39;s digital advertising platform. You&#39;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&#39;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=&quot;bold&quot;>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=&quot;postings-link&quot; href=&quot;https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/&quot;>https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/</a></div> <div>Learn more about our team culture here: <a class=&quot;postings-link&quot; href=&quot;https://www.stackadapt.com/careers/data-science&quot;>https://www.stackadapt.com/careers/data-science</a></div> <div>Watch our talk at Amazon Tech Talks: <a class=&quot;postings-link&quot; href=&quot;https://www.youtube.com/watch?v=lRqu-a4gPuU&quot;>https://www.youtube.com/watch?v=lRqu-a4gPuU</a></div> </div> <div class=&quot;section page-centered&quot; data-qa=&quot;preview-list-item-0&quot;> <h3 data-qa=&quot;preview-list-item-0-text&quot;>What you&#39;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 architectures that run training, inference, and monitoring on thousands of ML models concurrently</li> </ul> </div> <div class=&quot;section page-centered&quot; data-qa=&quot;preview-list-item-1&quot;> <h3 data-qa=&quot;preview-list-item-1-text&quot;>What you&#39;ll bring to the table:</h3> <ul> <li>Have the ability to take an ambiguously defined task, and break it down into actionable steps</li> <li>Have deep understanding of algorithm and software design, concurrency, and data structures</li> <li>Experience in implementing probabilistic or machine learning algorithms</li> <li>Interest in designing scalable distributed systems</li> <li>A high GPA from a well-respected Computer Science program</li> <li>Enjoy working in a friendly, collaborative environment with others</li> </ul> </div> </div> </div><div class=&quot;content-conclusion&quot;><div class=&quot;section page-centered&quot;> <h3>StackAdapter&#39;s Enjoy:</h3> <ul> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Highly competitive salary</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Retirement/ 401K/ Pension Savings globally</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Competitive Paid time off packages including birthday&#39;s off!</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Access to a comprehensive mental health care program</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Health benefits from day one of employment</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Work from home reimbursements</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Robust training and onboarding program</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Coverage and support of personal development initiatives (conferences, courses, books etc)</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Access to StackAdapt programmatic courses and certifications to support continuous learning</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>An awesome parental leave program</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>A friendly, welcoming, and supportive culture</li> <li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;>Our social and team events!</li> </ul> <p><em>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.</em></p> </div> <div class=&quot;section page-centered&quot; data-qa=&quot;closing-description&quot;> <div><em>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…