Machine Learning Engineer

Join Adyen, a global payments company, as a Machine Learning Engineer II - AI/ML. In this role, you will design and build AI prototypes, develop strategic AI products, and provide AI expertise across the organization. You will take full ownership of your work, from early research to deployed production systems, and influence the team's technical direction. This is an opportunity to work on some of the most technically demanding work in applied AI and shape how humans and AI collaborate at scale.

• Concevoir et opérer des systèmes agentiques à grande échelle, orchestrer plusieurs agents, utiliser des outils, gérer la mémoire et le contexte.
• Définir et diriger la stratégie d'évaluation pour les systèmes agentiques et les LLMs, concevoir des benchmarks internes ancrés dans la complexité réelle du domaine.
• Posséder le développement de bout en bout d'outils d'IA sur mesure qui résolvent des problèmes uniques à l'échelle d'Adyen.
• You have 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. You understand what separates production agents from research prototypes
• You are rigorous and systematic about evaluation. You have designed evaluation frameworks or internal benchmarks that go beyond standard metrics. You understand the failure modes of LLM-as-judge approaches and know how to measure what actually matters for a given system and use-case
• You have hands-on experience with at least one production-grade agentic framework
• You have 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 (RAG), and failure modes at scale
• You write clean, well-structured, production-ready code, primarily Python, and you hold research code to an engineering standard
• You have a strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics. You reach for the appropriate tool for the problem
• You have 3-6 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
• 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
• Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!