Senior AI Research Engineer

This is Adyen 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. 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. The Opportunity Adyen is building a top-tier AI engineering organization in Amsterdam, San Francisco and Madrid to drive our next chapter of innovation using AI globally across the entire company. This is a highly technical, hands-on role focused on the exploration and application of cutting-edge AI research within the financial technology sector. As a Senior AI Research Engineer, you will operate with a high degree of autonomy and responsibility, delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually. What You'll Do: Innovate and Deploy: Drive the execution of Adyen's AI strategy, focusing on [... source excerpt omitted ...] es like the Data Agent Benchmark for Multi-step Reasoning (DABStep), which evaluates AI agents on real-world data analysis tasks, including those from the financial sector. Build Production-grade Applications: Bridge the gap between cutting-edge AI research and production 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. Optimize and Scale: Contribute to defining the long-term vision for AI at Adyen, specifically how AI will interact with humans and finance, including consumers, merchants, and financial institutions [... source excerpt omitted ...] nerative AI (GenAI) and Large Language Models (LLMs). You demonstrate a strong engineering mindset with a track record of writing clean, efficient, and scalable code suitable for production environments. You have demonstrated experience taking cutting-edge AI research papers and implementing them into production-quality code. You demonstrate the ability to think critically and deliver simple and elegant solutions to complex, cross-team problems, influencing strategic direction and fostering innovation across the organization. You excel at translating complex technical concepts into clear, understandable terms for diverse audiences, including engineers, executives, and during pu