Senior Machine Learning Engineer

Checkout.com

Amsterdam

On-site

EUR 60,000 - 95,000

Full time

14 days+

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Job summary

An innovative fintech company is seeking a Senior Machine Learning Engineer to join their dynamic ML Platform team. In this role, you will be instrumental in designing and developing a cutting-edge machine learning platform that enhances payment performance services. You will have the opportunity to work on impactful projects such as fraud detection and payment optimization, while collaborating with a talented team to drive the maturity of the platform. This role is perfect for those who are passionate about productionizing machine learning and thrive in a fast-paced, collaborative environment. Join us in shaping the future of digital payments and making a difference in the fintech landscape.

Qualifications

Production experience with high-volume ML systems and low-latency model serving.
Proficiency in cloud application development and writing production-ready Python code.

Responsibilities

Develop solutions for Fraud Detection and Payment Optimization.
Build systems for training and monitoring machine learning models.

Skills

Machine Learning Systems

Python Programming

Cloud-based Application Development

Monitoring and Observability

Data Analysis

Communication Skills

Critical Thinking

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS

Spark

Databricks

SageMaker

Vertex AI

Kubeflow

Seldon

Job description

Company Description
Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. So, join us to build tomorrow, today.

Job Description
As a Senior Machine Learning Engineer at Checkout.com in the ML Platform team, you will play a key role in the early design and development of our machine learning platform. You will contribute to the establishment of standards & architecture and collaborate with an ambitious group of engineers to increase the maturity level of our platform.

The solutions that you will be building will power our stack of value added services in the Payments Performance area. We’re a growing team in an expanding area within the company and we’re looking for individuals who have strong ownership, are passionate about productionising ML and have a pragmatic approach to converting big problems into smaller iterations to constantly deliver value.

How you’ll make an impact:

Develop and deliver solutions used across products such as Fraud Detection and Payment Optimization
Build systems for training, deploying and monitoring machine learning models used in real-time inference
Scale our feature store to more and increasingly complex use-cases both online and offline
Contribute to technical and architectural decisions that increase the maturity level of the platform
Actively promote critical thinking, to challenge and improve our systems and processes by leveraging past experience

Qualifications

Production experience with building and operating high-volume ML systems, including low-latency model and feature serving
Experience with monitoring and observability of production ML systems, with a strong sense of ownership
Proficiency in Cloud-based application development (we use AWS)
Experience with one or more of these technologies: Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon
Versed in writing clear, production-ready Python code
Solid understanding of theoretical aspects of machine learning
Growth mindset, always on the lookout for stretch challenges
Excellent communication skills, ability to interact effectively with multidisciplinary teams
Experience dealing with data from complex domains (FinTech, Fraud Detection or Payments Processing are a significant plus)

Additional Information

Apply without meeting all requirements statement
If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use. Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

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