Senior/Staff Applied Machine Learning Scientist

<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 class=&quot;section page-centered&quot;> <div class=&quot;section page-centered&quot;> <div>We are searching for a talented <strong>Senior/Staff Applied Machine Learning Scientist&nbsp;</strong>to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we&#39;re dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.</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>&nbsp;</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>&nbsp;</div> <div>StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position.</div> <p>&nbsp;</p> </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>Lead the creation and optimization of advanced machine learning algorithms—from developing new methods to refining existing techniques—to enhance advertising effectiveness and ROI using deep ML expertise.</li> <li>Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Data Engineers to deploy and integrate algorithms into live systems.</li> <li>Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.</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>3+ years of industry experience</li> <li>Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.</li> <li>Have the ability to take an ambiguously defined task, and break it down into actionable steps</li> <li>Have a comprehensive understanding of statistics, optimization and machine learning</li> <li>Are proficient in coding, data structures, and algorithms</li> <li>Enjoy working in a friendly, collaborative environment with others</li> </ul> </div> </div> </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, hardwo…