Staff Machine Learning Engineer - Applied ML & Research

About the role

<div class="content-intro"><p>We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.</p></div><p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">As a Staff Machine Learning Engineer in the Applied ML &amp; Research team, you'll drive the development of machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. This role blends hands-on technical work with strategic thinking — you'll lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>What the role involves</strong></p> <ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="font-claude-response-body whitespace-normal break-words pl-2">Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Translate complex technical concepts into clear insights for both technical and non-technical stakeholders</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement</li> </ul> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>What we are looking for</strong></p> <ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="font-claude-response-body whitespace-normal break-words pl-2">Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">7+ years of industry experience building and deploying ML models at scale</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Proven ability to lead cross-functional technical initiatives and influence engineering strategy</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Proficiency in Python (with libraries such as PyTorch, XGBoost, and Scikit-learn) and SQL</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies</li> <li class

Skills