Java Programming, Python Programming, AWS, Cloud computing, Apache Hadoop, Scala Programming, Machine learning techniques, Apache Hive, Apache Airflow, Kubernetes-K8s, SPARK Programming, ETL frameworks, Applied Machine Learning
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
Your experience should include
You might also have
GoDaddy Inc. is an American publicly traded Internet domain registrar and web hosting company headquartered in Scottsdale, Arizona and incorporated in Delaware. As of June 2020, GoDaddy has more than 20 million customers and over 7,000 employees worldwide.