This is Adyen
Adyen is a global financial technology platform for the world's most ambitious businesses, including Facebook, Uber, H&M, and Microsoft. We provide a single solution for payments, data, and financial products, engineered to help companies achieve their goals faster.
At Adyen, we create a culture where our people are empowered to truly own their careers. Our teams are composed of motivated individuals who tackle unique technical challenges at scale and solve them collaboratively. We provide the support and environment needed for our people to succeed, enabling us to deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
What You'll Do
As a Machine Learning Platform Engineer in the Shared Data Capabilities solution, you will be building and scaling the brain behind the Adyen platform, with a focus on scaling access to the intelligence and capabilities businesses need to realize their biggest ambitions.
Currently we are looking for engineers to join our Feature Platform team. The team helps our merchants by enabling machine-learning powered products within the payment flow to discover, create and leverage complex features. This includes building data pipelines and maintaining frameworks to create aggregations in both batch and real time, as well as a distributed storage layer that can serve these features in milliseconds to our real time payment flow across the globe.
1. Build and maintain our feature platform, responsible for feeding input data to machine learning models both at training and scoring time.
2. You will be part of a diverse and inclusive team.
3. You will be working in a cross-functional and cross-border team (part of the team is in Amsterdam) with roles like Data Engineering, Data Science and Product.
4. We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring code live that impacts many businesses and shoppers.
5. You will be fully responsible from its initial design to bringing new functionality live.
6. Identify and improve parts of the platform to make it more robust and scalable.
7. Collaborate across teams and time zones to make things happen, review code and be open to feedback.
Who you are:
8. You have proven experience working with programming languages such as Python and JVM-based languages (e.g. Java, Kotlin, Scala), distributed systems, and large-scale databases (both relational and non-relational).
9. Understanding of data pipelines and ETL processes for preparing and managing data for ML training and inference.
10. Proficiency with observability tools, such as - Prometheus, Logsearch, Kibana and Grafana.
11. You like taking ownership, leading projects and involving others, based on a solid understanding of the “why” behind it.
12. You have great communication skills and the ability to articulate complex, technical concepts.
13. We are an international team, so we need you to have full professional proficiency (written and verbal) in English.
14. Familiarity with integrating Machine Learning into real-world systems is a plus.
15. Previous experience working on platform teams or with open-sourcing internal projects would be a plus.
16. Our Tech Stack - Cassandra, Kafka, Flink, Spark, Airflow, Python, Java, Gradle, PostgreSQL, and Elasticsearch.