<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 scientific alignment by setting high quality standards.</li> <li><strong>Optimize and Scale: Contribute to defining the long-term vision for AI at Adyen</strong>, specifically how AI will interact with humans and finance, including consumers, merchants, and financial institutions. This also includes understanding regulation and advocating for safe innovation in the field.</li> <li><strong>Think Outside the Box: Drive innovation by challenging the status quo</strong>, introducing transformative ideas and implementing creative solutions to solve real-world problems. Carry out <strong>flexible, value-driven assignments</strong>, proactively unblocking teams to maximize organizational impact and drive strategic initiatives.</li> <li><strong>Force Multiplier: Provide mentorship and horizontal sponsorship across the organization</strong>, fostering collaboration to share knowledge and best practices, and cultivating a culture of continuous improvement. This includes deeply engaging them in problem-solving processes and guiding them through execution, fostering their growth through hands-on involvement.</li> <li><strong>Team Player: Actively pair with other engineering teams to solve deep-rooted technical challenges</strong> and be fully capable of being <strong>hands-on with the code</strong>, whether creating proof-of-concepts or fixing critical performance issues.</li> <li><strong>Learn and Lead: Connect with the broader AI community</strong> (including startups, VCs, and AI labs) to stay informed of the latest advancements and identify potential partnership opportunities.<br><br></li> </ul> <p><strong>Who You Are:</strong></p> <ul> <li>You are <strong>deeply embedded in the scientific AI research community</strong> and have a strong understanding of the latest SOTA advancements.</li> <li>You have <strong>significant experience and a strong understanding of Generative AI (GenAI) and Large Language Models (LLMs)</strong>.</li> <li>You demonstrate a <strong>strong engineering mindset</strong> with a track record of writing clean, efficient, and scalable <strong>code suitable for production environments</strong>.</li> <li>You have demonstrated experience <strong>taking cutting-edge AI research papers and implementing them into production-quality code</strong>.</li> <li>You demonstrate the ability to <strong>think critically and deliver simple and elegant solutions to complex, cross-team problems</strong>, influencing strategic direction and fostering innovation across the organization.</li> <li>You excel at <strong>translating complex technical concepts into clear, understandable terms for diverse audiences</strong>, including engineers, executives, and during public events. You adapt your communication style to effectively engage with diverse audiences.</li> <li>You thrive in leveraging empathy, influence, negotiation, relationship building, and conflict resolution to <strong>foster strong, trust-based collaborations</strong>.<br><br></li> </ul> <p><strong>Nice to Haves:</strong></p> <ul> <li>A strong <strong>product sense</strong> and the ability to identify impactful AI use cases.</li> <li>Experience in <strong>AI-enabled fintech </strong>companies.</li> <li>Familiarity with <strong>classical machine learning </strong>concepts.</li> <li>Experience with external visibility activities such as <strong>conferences