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Senior ML Platform Engineer

Adyen

Madrid

Presencial

EUR 50.000 - 70.000

Jornada completa

Hace 30+ días

Descripción de la vacante

A leading financial technology platform in Madrid is seeking a Machine Learning Platform Engineer to build and scale innovative solutions. You will collaborate with a diverse team and leverage your skills in Python, distributed systems, and machine learning to deliver impactful features. The role emphasizes ownership and fast iteration in a dynamic environment. A full-time position requires relocation if not currently in Madrid.

Formación

  • Proven experience with programming languages like Python and JVM-based languages.
  • Understanding of data pipelines and ETL processes.
  • Great communication skills and ability to articulate complex concepts.

Responsabilidades

  • Build and maintain the feature platform for machine learning models.
  • Work within a diverse and cross-functional team.
  • Launch code that impacts businesses and shoppers rapidly.

Conocimientos

Python
JVM-based languages (Java, Kotlin, Scala)
Distributed systems
Large-scale databases
Observability tools (Prometheus, Logsearch, Kibana, Grafana)
Leadership and project ownership
Full professional proficiency in English

Herramientas

Cassandra
Kafka
Flink
Spark
Airflow
Gradle
PostgreSQL
Elasticsearch
Descripción del empleo

Development Madrid

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we 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.

We offer a unique opportunity to work on the industry cutting-edge: given the volume and constraints that come with near real-time decision-making, there is no industry-standard solution.

  • Build and maintain our feature platform, responsible for feeding input data to machine learning models both at training and scoring time.
  • You will be part of a diverse and inclusive team.
  • 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.
  • 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.
  • You will be fully responsible from its initial design to bringing new functionality live.
  • Identify and improve parts of the platform to make it more robust and scalable.
  • Collaborate across teams and time zones to make things happen, review code and be open to feedback.

Who you are:

  • 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).
  • Understanding of data pipelines and ETL processes for preparing and managing data for ML training and inference.
  • Proficiency with observability tools, such as - Prometheus, Logsearch, Kibana and Grafana.
  • You like taking ownership, leading projects and involving others, based on a solid understanding of the “why” behind it.
  • You have great communication skills and the ability to articulate complex, technical concepts.
  • We are an international team, so we need you to have full professional proficiency (written and verbal) in English.
  • Familiarity with integrating Machine Learning into real-world systems is a plus.
  • Previous experience working on platform teams or with open-sourcing internal projects would be a plus.
  • Our Tech Stack - Cassandra, Kafka, Flink, Spark, Airflow, Python, Java, Gradle, PostgreSQL, and Elasticsearch.

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

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!

What’s next?

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. Learn more about our hiring process here . Don’t be afraid to let us know if you need more flexibility.

Please note that this role is a full-time position in Madrid. It will require a relocation in case you live outside of Madrid.

The way we work is guided by the eight principles of the Adyen Formula. Learn more here.

Our engineers are building the first financial technology platform that combines payments, data, and financial services. We’re looking for more talented problem solvers to help us address a unique set of challenges.

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