Machine Learning Engineer

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 Machine Learning Engineer at Checkout.com in the ML Platform team, you will contribute to the development of scalable systems that power real-time fraud detection and payment optimization. This is your opportunity to grow alongside top-tier engineers while making a tangible impact on millions of transactions globally.

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

• Build systems for training, deploying and monitoring machine learning models used in our payments platform, at scale
• Scale our feature store to more and increasingly complex use-cases both online and offline
• Deliver end to end features with full ownership under mentorship of talented engineers
  
  

Qualifications

• Proficiency in writing clear, production-ready Python code
• Familiarity with production ML models (online or offline) and standard MLOps practices
• Familiarity with monitoring and observability of production systems, with a strong sense of ownership
• Familiarity in Cloud-based application development (we use AWS)
• Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon, Triton
• Strong communication skills, able to express ideas clearly and collaborate across teams
• Growth mindset, always on the lookout for stretch challenges
• Curiosity to tackle open-ended problems and learn from failures
  
  

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.

Take a peek inside life at Checkout.com via

• Our Culture video https://youtu.be/BEwnpHuadSw
• Our careers page https://www.checkout.com/careers
• Our LinkedIn Life pages bit.ly/3OaoN1U
• Our Instagram https://www.instagram.com/checkout_com/