Senior Machine Learning Engineer, Adyen

• You have 5 + years of experience as an engineer working in the machine learning domain
• 5 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python
• 5 years of experience in software development
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture
• 5 years of experience building and deploying Machine Learning systems in (prediction, ranking, embedding, deep learning) in production and experience building architecture in different modeling domains
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
• You have experience leveraging big data to create the pipelines needed to feed the models with appropriate data
• You have a strong understanding of good software engineering practices as well as data engineering and MLOps principles
• You have strong familiarity with the standard data science toolkit in python, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks, and Airflow
• You have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana
• You have an experimental mindset with a launch fast and iterate mentality
• You proactively take the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences

Desirable

• Adyen is looking for a Senior Machine Learning Engineers to join our team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments
• You will be responsible for designing, productionizing and maintaining machine learning services that power data products at Adyen
• Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment. Examples ML domains are: on-line learning algorithms to pick the best optimization decision in a changing environment, clustering algorithms to group customers/shoppers, supervised and semi-supervised learning methods for inference on risk patterns or graph analysis, representation learning for behavior prediction and monitoring, Anti-Money Laundering (AML) systems and real-time anomaly detection based on time-series modeling
• Identify and fix performance bottlenecks in ML training and inference (memory consumption, online latency, training time etc.)
• Collaborate with software engineers to integrate ML solutions into products and services
• Collaborate with data scientists to transition research prototypes into scalable solutions
• Collaborate with MLOps and platform teams to integrate effectively with current tools, and shape priority for future tools
• Support and encourage good engineering practices on product ML teams
• The Customer Risk team is at the front line of this platform, building the next-generation systems required to assess and mitigate risk in real time
• They are responsible for keeping our platform safe, while maintaining a seamless experience for our legitimate global merchants
• They operate at the critical intersection of high-stakes security and massive scale
• By leveraging Adyen’s global payment flow, they are building a risk engine from scratch that moves beyond traditional detection to sophisticated, real-time entity assessment
• We are looking for our first Senior Machine Learning Engineer to lead this effort and help architect the future of risk at Adyen
• This is a full-time position based in our Amsterdam office, and it requires relocation if you are currently living outside of the Netherlands
• Teams currently hiring:
• Customer Risk
• The Customer Risk team is at the front line of this platform, building the next-generation systems required to assess and mitigate risk in real time. They are responsible for keeping our platform safe, while maintaining a seamless experience for our legitimate global merchants
• They operate at the critical intersection of high-stakes security and massive scale. By leveraging Adyen’s global payment flow, they are building a risk engine from scratch that moves beyond traditional detection to sophisticated, real-time entity assessment. We are looking for our first Senior Machine Learning Engineer to lead this effort and help architect the future of risk at Adyen
• Platform Risk
• As Adyen expands its product lines, robust fraud prevention has shifted from an extended feature to an essential offering, and our team is tasked with the challenge of building a world-class, unified view of risk for our merchants. Machine Learning is the fundamental piece required to scale this offering in a reliable way, and we are looking for someone to join our autonomous environment where every engineer is end-to-end responsible for their solutions—from initial stakeholder discussions to production monitoring. In this role, challenging the status quo is not only welcomed but encouraged, ensuring you have a significant voice in our most critical architectural decisions

• Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role