Senior AI Research Scientist Job at Adyen (Madrid)

Job Description

Adyen is building a world-class AI team to redefine what intelligent systems can do in financial technology. As a Senior AI Research Engineer, you will take on some of the most technically demanding work in applied AI: designing agents that reason over complex, multi-step tasks; building the evaluation infrastructure that makes those systems trustworthy in production; and shaping how humans and AI collaborate at scale within a global payments company. This is not a narrow research role. You will take full ownership of your work, from early research through deployed production systems, influence the team's technical direction, and act as a force multiplier for the broader AI organization — including contributing to custom model development for structured financial data, and working toward our longer-term ambition of defining how humans and AI collaborate at scale across the company.

Job Responsibility

Design and Deploy AI Agents for Complex Tasks: Lead the research, design, and deployment of AI agents built for long-horizon, multi-step tasks in real-world financial contexts
Own Evaluation and Benchmarking: Define and lead the evaluation strategy for the agentic systems and LLMs your team builds and deploys
Provide AI Expertise Across the Organization: Serve as a technical resource for AI initiatives across Adyen
Raise the Bar: Set engineering standards for the team and company, provide mentorship through problem decomposition, research methodology, and code review

Requirements

6+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments
deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering, and failure modes at scale
proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design
rigorous and systematic about evaluation, designed evaluation frameworks or internal benchmarks that go beyond standard metrics
strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics
write clean, well-structured, production-ready code, primarily Python
hands-on experience with at least one production-grade agentic framework

Nice to have

Any experience with tabular deep learning architectures
Familiarity with financial data, payments, fraud detection, or risk systems
Track record of external visibility: publications, conference presentations, or open-source contributions
Experience with observability and evaluation tooling
Familiarity with MLOps and model deployment pipelines in large-scale environments

Adyen - All Job Offers

Select Country

Senior AI Research Scientist

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?