Senior Machine Learning Engineer - Experimentation platform

United States

Applications have closed

GoDaddy

Die Komplettlösung für das Wachstum im Internet. Wer jetzt den kostenlosen Testzeitraum beginnt, kann eine elegante Website gestalten, einen Domainnamen erwerben, schnelles Hosting erhalten, unser Online-Marketing ausprobieren und erhält...

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GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. With 20 million customers worldwide, GoDaddy is the place people come to name their idea, build a professional website, attract customers 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 Machine Learning 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.

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 employee resource groups (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.

 

GoDaddy is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, ethnicity, national origin, citizenship, religion, creed, sex, sexual orientation, gender, gender identity or expression (including against any individual that is transitioning, has transitioned, or is perceived to be transitioning), marital status or civil partnership/union status, physical or mental disability, medical condition, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.

 

If you need help completing an application for a position with GoDaddy, please reach out to our Recruiting Team at myrecruiter@godaddy.com.

 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Tags: A/B testing Agile Airflow AWS Classification Computer Science DevOps Distributed Systems Engineering Hadoop Kubernetes Machine Learning ML models Open Source Python Scrum Spark Testing

Perks/benefits: Career development Equity Medical leave Parental leave Team events

Region: North America
Country: United States
Job stats:  12  1  0

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