Senior Software Engineer - Machine Learning Platform

Key Skills

Apache Airflow, Apache Hadoop, Apache Hive, Applied Machine Learning, AWS, Cloud computing, ETL frameworks, Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, Scala Programming, SPARK Programming

Job Description

GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company, visit www.GoDaddy.com.

Join our team

GoDaddy is looking for a Senior Software Engineer to join our Machine Learning (ML) platform team. We're building self-service ML platform capabilities that empower product teams to build and deploy models that improve GoDaddy experiences

As a Senior ML Engineer, you will help design and build self-service components of our ML Platform that empower teams across the company to build, deploy, and maintain ML models. In addition, to growing the ML platform, you will have the opportunity to build models that improve customer experiences across GoDaddy's various business units. Some example applications that have been built and deployed using our platform include an email abuse classification model, a customer lifetime value model, and an order fraud detection model.

Location

We are a distributed team and you can be located anywhere in the United States. We have offices you can use in the Bay Area; in the Seattle area; in Los Angeles, in Cambridge, Massachusetts; in the Phoenix metropolitan area; and in Cedar Rapids, Iowa.

What you'll get to do

• Build models to solve business problems across various business units at GoDaddy
• Build and maintain a ML feature store for use across GoDaddy
• Partner with teams across the company on applications that require ML solutions
• Design and implement improvements to our batch and real-time data streams that feed the feature store
• Collaborate on a high impact, mission-driven Scrum team
• Participate in DevOps, release, and on-call activities in support of your code
• Contribute to technology working groups and internal open source

Your experience should include

• BS in Computer Science, Computer Engineering, or equivalent technical degree, with excellent computer science fundamentals
• Proficiency in modern programming languages (Python, Java, etc)
• 7+ years of experience in developing and shipping software
• 1+ years of experience in software design of big-data solutions
• Experience building highly available distributed systems leveraging cloud technologies
• Experience with large scale data processing systems (Hadoop, Spark, etc.)
• Passion for building great software with solid test infrastructure
• Strong drive to learn, grow, and help engineers to do the same.

You might also have

• Experience in applied Machine Learning.
• Experience in A/B testing platforms.
• Experience in data engineering and with related technologies, like Airflow.
• Experience with infrastructure technology, like AWS and Kubernetes.
• Experience in data science and with related technologies, like Hive.
• Experience in an Agile software development environment.