The opportunity
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
What you'll do
Build – Design and scale production-ready ML models to support regulatory: reporting and risk requirements. You will own the end-to-end lifecycle, from feature engineering within our Big Data ecosystem (Spark/Hadoop) to building the internal infrastructure.
Discover – Move beyond simple detection to build automated root-cause: analysis. You will develop logic that translates complex statistical signals into actionable recommendations.
Collaborate: Work at the heart of a product-driven team. You will sit close to our users, gathering continuous feedback to ensure our technical solutions solve real-world business friction and drive product adoption.
You have 4+ years of experience as a Machine Learning Engineer or Data: Scientist (Anomaly Detection, Time-Series, or Signal Processing).
You have an Engineering-First mindset. You treat ML code like production code: and are comfortable managing your own deployments and infrastructure.
You are proficient in Python and Big Data frameworks (PySpark, Airflow, Hadoop, Kafka).
What they're looking for
- Experience with SparkStreaming/Flink, Docker and Kubernetes is a plus.
- You have a strong interest in Causal Inference, you want to prove why: something happened, not just that it happened.
- You are a pragmatic problem solver. You prioritize business impact and: reliability over model complexity, choosing the right tool for the job to ship solutions that work today.
- You are proactively taking the lead in projects, from ideation to deployment.: You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes to a wide range of audiences.
