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Senior ML Engineer

Checkout.com

Checkout.com

Software Engineering, Data Science
Tel Aviv-Yafo, Israel
Posted on Thursday, May 2, 2024

Company Description

We're Checkout.com

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 Fraud ML team, you will play a vital role in the design and development of our machine learning platform.You will contribute to the establishment of standards & architecture and collaborate with product and engineering leaders to shape our technical and product roadmap. You are versed in the machine learning based products’ life cycle.

How you’ll make an impact?

  • Working as part of a cross-functional product team to develop solutions for our Risk & Fraud services
  • Contributing to technical and architectural decisions
  • Gathering requirements and scoping out projects with the rest of the team
  • Actively promoting innovative thinking, designing processes that encourage more ideation
  • Acting as a filter balancing risk and reward in measurable ways

Qualifications

  • Experience designing and operating large MLOps platforms, including feature serving, designing and deploying real time pipeline.
  • Dealing with data on high volume in a high availability production systems
  • 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 Python.
  • Experience monitoring production ML systems.
  • Experience in algorithm design and implementation or experience working within Machine Learning & Research teams
  • Strong knowledge and appreciation for software design and architecture
  • Enthusiastic about delivery and experience working in a fast-paced agile environment
  • Desire to work on an exciting product suite within a fast scaling technical business
  • Excellent communication skills, ability to interact effectively with multidisciplinary teams
  • Experience with FinTech, Fraud Detection or risk management systems is a significant plus

Additional Information

Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.

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