Senior AI Research Engineer

<p><strong>This is Adyen</strong></p> <p><span style="font-weight: 400;">Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. </span></p> <p><span style="font-weight: 400;">For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.</span></p> <p><strong>The Opportunity</strong></p> <p>Adyen is building a <strong>top-tier AI engineering organization in Amsterdam, San Francisco and Madrid</strong> to drive our next chapter of innovation using AI globally across the entire company. This is a <strong>highly technical, hands-on role</strong> focused on the <strong>exploration and application of cutting-edge AI research</strong> within the financial technology sector. As a <strong>Senior AI Research Engineer, </strong>you will operate with a <strong>high degree of autonomy and responsibility</strong>, delivering <strong>strategic, high-impact outcomes</strong> that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually. </p> <p><strong>What You'll Do:</strong></p> <ul> <li><strong>Innovate and Deploy: Drive the execution of Adyen's AI strategy</strong>, focusing on the <strong>practical application of Generative AI (GenAI) and other AI methodologies in finance</strong>. This includes contributing to Adyen's efforts in key research areas such as <strong>AI agents for data analysis and operational workflows</strong>, <strong>human-in-the-loop for integrity risk</strong>, and <strong>development of foundation models</strong>. For instance, you might contribute to initiatives like the<a href="https://huggingface.co/blog/dabstep"> Data Agent Benchmark for Multi-step Reasoning (DABStep)</a>, which evaluates AI agents on real-world data analysis tasks, including those from the financial sector.</li> <li><strong>Build Production-grade Applications: Bridge the gap between cutting-edge AI research and production</strong> by implementing research papers into robust, scalable, and production-ready code. Reduce complexity and dependencies across teams by championing engineering and sc