Principal Machine Learning Scientist at Godaddy

Location
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or off-sites. Your hiring manager can share more about this role’s hybrid or remote designation.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
Join Our Team
GoDaddy is investing heavily in machine learning, and the GDML team supports this effort through both modeling and development of GoDaddy’s modeling platform. We’re looking for an experienced ML practitioner/developer to help us build something great.
What you'll get to do...
Solve impactful, web-scale ML problems and take the solutions from planning to production.
Ideate and implement advanced ML solutions like domain-specific embeddings, custom featurization, and customized language models.
Build a great company-wide ML platform that enables other data scientists and ML engineers to train, validate, deploy, and monitor ML
Mentor teammates in advanced ML and ML engineering practices
Engage with engineering leadership across GoDaddy to define development and production processes for ML creation and deployment.
Recommend architectural patterns to other teams; e.g., consult on the architectural design of ML pipelines for collecting data for ML training and inference.
Collaborate with a distributed team, including pairing, code reviews, identifying opportunities for code refactoring, and defining best practices.
Your experience should include...
7+ years of experience with Machine Learning and Software Engineering
Experience designing and building a platform or libraries for engineers.
Experience with Python, AWS, and CICD platforms (such as GH Actions, Jenkins, Travis, CircleCI, etc.)
Experience with ML Models in production environment
An understanding of the machine learning development lifecycle.
Experience and desire to mentor engineers on best practices and code craftsmanship.
Experience in an Agile software development environment.
You might also have...
Experience designing, building, and shipping backend systems with multiple tiers, including API, caching, and data access layers.
Experience designing data ETL pipelines. Experience using big data related technologies such as Spark, Airflow, and EMR.
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.
About us... 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 About Us (https://aboutus.godaddy.net/about-us/overview/default.aspx.)
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.
Job ID R015743
GoDaddy's compensation is local to where you are and may vary based on an individual's qualifications at the time of the offer. The anticipated annual base salary ranges for select locations are listed below:
Seattle, New York City -  $156000.00 to $195000.00
Colorado, Washington State -  $133500.00 to $167000.00
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