Senior AI Research Engineer
Adyen is a financial technology company providing a unified platform for payments, data, and financial products. It serves global enterprises, retailers, platforms, marketplaces, and other high-growth businesses.
Projects
About Adyen
Adyen provides payment processing and financial technology services through a single platform. Its offerings include online and in-person payments, payment methods, risk management, authentication, revenue optimization, issuing, payouts, liquidity management, embedded accounts, and capital. Adyen typically serves global enterprises, retailers, SaaS platforms, marketplaces, and other high-growth businesses.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You explore and apply cutting-edge AI research in finance, implement research papers as production-quality code, develop scalable generative AI applications, and help shape AI strategy. You mentor engineers, solve complex technical problems, communicate research clearly, and connect with the broader AI community.
Requirements
- Strong understanding of current AI research advancements
- Significant experience with Generative AI and Large Language Models
- Track record of writing clean, efficient, and scalable production code
- Experience implementing cutting-edge AI research papers into production-quality code
- Ability to solve complex cross-team problems
- Ability to communicate complex technical concepts to diverse audiences
- Experience with product thinking, AI use cases, classical machine learning, external visibility activities, or on-premises infrastructure is advantageous
Responsibilities
- Drive practical applications of Generative AI and other AI methodologies in finance
- Implement research papers into robust, scalable, production-ready code
- Contribute to AI strategy and long-term vision
- Address regulation and promote safe AI innovation
- Develop creative solutions to real-world problems
- Mentor engineers and share knowledge and best practices
- Pair with engineering teams on technical challenges
- Create proof-of-concepts and resolve performance issues
- Engage with startups, venture capital firms, and AI labs
