Member of Technical Staff

Adyen·San Franciscomid

In short

→Ingeniero de IA de alto impacto en finanzas, aplicando IA generativa a escala global.
→Desarrolla código de producción de vanguardia basado en investigaciones de IA, con foco en agentes y modelos fundamentales.
→Destacado por su autonomía y papel clave en la integración ética y segura de IA en sistemas financieros de trillones de dólares.

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What they ask for

✓Experiencia en la implementación de modelos de IA de vanguardia en producción.
✓Conocimiento avanzado en Generative AI, agentes de IA y modelos fundamentales.
✓Capacidad para traducir investigaciones académicas en soluciones técnicas reales.
✓Habilidades de colaboración profunda con equipos técnicos multidisciplinarios.
✓Compromiso con la calidad, escalabilidad y seguridad en sistemas financieros.
✓Actitud proactiva y capacidad para liderar sin autoridad formal.

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Generative AIAI AgentsFoundation ModelsDABStepMulti-step ReasoningProduction-grade codeScientific alignmentRegulatory awarenessHuman-in-the-loopEthical AI

Who should you write to at Adyen?

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This is Adyen Adyen provides payments, data, and financial products in a single solution for global 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. We create an environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support to truly own your career. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team, delivering innovative and ethical solutions that help businesses achieve their ambitions faster. The Opportunity Adyen is building a top-tier AI engineering team in San Francisco 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 Member of Technical Staff , 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 the practical application of Generative AI (GenAI) and other AI methodologies in finance . This includes contributing to Adyen's efforts in key research areas such as AI agents for data analysis and operational workflows , human-in-the-loop for integrity risk , and development of foundation models . For instance, you might contribute to initiatives 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, scientific alignment and 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. This also includes understanding regulation and advocating for safe innovation in the field. • Think Outside the Box: Drive innovation by challenging the status quo , introducing transformative ideas and implementing creative solutions to solve real-world problems. Carry out flexible, value-driven assignments , proactively unblocking teams to maximize organizational impact and drive strategic initiatives. • Force Multiplier: Provide mentorship and horizontal sponsorship across the organization , 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. • Team Player: Actively pair with other engineering teams to solve deep-rooted technical challenges and be fully capable of being hands-on with the code , whether creating proof-of-concepts or fixing critical performance issues. • Learn and Lead: Connect with the broader AI community (including startups, VCs, an

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