
Staff Level Research Engineer, AI
- Amsterdam, Noord-Holland
- Vast
- Voltijds
- Drive the execution of Adyen's AI research 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 research for Integrity Risk, and potentially foundational model development. 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.
- Bridge the gap between cutting-edge AI research and production by rapidly prototyping AI features and implementing research papers into robust, scalable, and production-ready code that delivers measurable business value.
- 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.
- Drive innovation by challenging the status quo, introducing transformative ideas, and leveraging technologies and methodologies to improve solutions that align with company strategy.
- Carry out flexible, value-driven assignments, proactively unblocking teams, moving between teams or scopes as needed to maximize organizational impact and drive strategic initiatives.
- Provide technical mentorship and sponsorship to engineers across the organization, fostering collaboration to share knowledge and best practices, and cultivating a culture of continuous improvement through deep engagement in problem-solving and hands-on guidance.
- Connect with the broader AI community (including startups, VCs, and AI labs) to stay informed of the latest advancements and identify potential partnership opportunities.
- Champion engineering and scientific alignment, advocate for high-quality standards, and drive the reduction of complexity and dependencies across teams.
- Actively pair with engineers 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.
- You have 10+ years of professional experience in software engineering, machine learning, or applied research, with a proven ability to drive high-impact initiatives end-to-end.
- You are deeply plugged into the scientific AI research community and have a strong understanding of the latest advancements in AI, especially Generative AI (GenAI) and Large Language Models (LLMs).
- You possess a proven ability to take cutting-edge AI research papers and implement them into production-quality, scalable code.
- You demonstrate a strong engineering mindset with a track record of writing clean, efficient, and scalable code suitable for production environments.
- You excel at translating complex technical concepts into clear, understandable terms for diverse audiences, including engineers, executives, and during public events. You adapt your communication style to effectively engage with diverse audiences.
- 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 in soft skills such as empathy, influence, negotiation, relationship building, and conflict resolution.
- Experience in AI-enabled fintech or infrastructure companies.
- Familiarity with classical machine learning or infrastructure concepts.
- Experience with external visibility activities such as conferences and publications.
- A strong product sense and the ability to identify impactful AI use cases.
- Experience working with on-premise infrastructure.