Lead ML Engineer - Risk

Posted May 18


A world class Risk management system is critical for the success of any payments business. Here are some interesting challenges where a lot more architecture and engineering effort needs to be invested:

  • We are laying down the platform to ingest massive datasets and use them to give real-time (or near real-time) decisions with a high degree of accuracy.
  • Fraud patterns are constantly evolving and a Risk system needs to be able to adapt to them quickly. We have built a highly configurable Risk system, so that we can roll out new risk rules or make changes to existing ones quickly.
  • In order to improve our adaptability to changing fraud patterns and to improve the accuracy of our decisions, we need to move towards Machine Learning models in the near future.
  • In the 1 year since Poynt got acquired we have already seen a 50x increase in volume and we are still only scratching the surface in terms of our integration into the GoDaddy platform. In 2022 and beyond we expect to grow this volume manifolds as we integrate deeper into GoDaddy. This will bring interesting availability and scalability challenges.

What you'll get to do...

  • Be the first Machine Learning engineer on the GoDaddy Commerce Risk team. We have ML experts in other parts of the company.
  • Work with Risk product, Risk strategy & Risk engineering to understand the current risk rules & infrastructure.
  • Work with GoDaddy Machine Learning experts to map out the architecture for Commerce Risk ML platform.
  • Develop our first Machine Learning model (based on the proposed architecture) to analyze huge volumes of data to give predictions on payment transaction.
  • Work on optimizing the Machine Learning models by discovering and fixing dataset problems to improve accuracy.
  • Work with Risk engineering leadership to build a high-performance Machine Learning team.
  • Work with DevOps, Network engineers and data experts to resolve production issues.
  • Participate in quarterly and annual roadmap planning. Inform our product roadmap through industry and customer research.
  • Document machine learning processes at GoDaddy and in particular Commerce Risk.

Your experience should include...

  • 10+ years of software industry experience.
  • 5+ years in Machine Learning role.
  • Expert level data science knowledge.
  • Advanced proficiency in Java, Python and R code.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling and software architecture.
  • Enjoy starting from scratch you will start ML for Commerce Risk. We do have ML infrastructure and experts in other parts of the company.
  • Passionate about the entire software development lifecycle starting from requirement gathering and planning to release and production issues.
  • Strong desire to learn and share knowledge with others.

You might also have...

  • Prior experience with payment risk
  • Experience working with data pipelines, data warehousing, and analytics tools (Spark, Hadoop, Elasticsearch, Redshift)
  • You’ve used Kafka, Elasticsearch and Redis in production
  • 2+ years of experience with Amazon Web Services.
  • Experienced in developing web application servers (Tomcat, Glassfish, or JBoss), Spring, JPA, and Hibernate

We've got your back...Enjoy our many benefits (My Wallet), including paid time off, 401k, equity grants and parental leave. Join one of our employeeresourcegroups (Culture). Continue to have a side hustle, if you have one (we love entrepreneurs, remember?). Most importantly, come as you are and make your own way.



Misc Info For This Position:

Remote Mix: 100% Remote

Position Level: Lead

Job Type: Full-Time

Regional Restrictions: USA Only


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Job Info:
100% Remote
Lead
Full-Time
USA


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