Senior Machine Learning Engineer
United States - Remote
GoDaddy
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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 is a remote position, so you’ll be working remotely from your home. Once we can safely travel, you may occasionally visit a GoDaddy office to meet with your team for events or off-sites.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
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 perform machine learnings. In addition, to growing the ML platform, you will have the opportunity to work with machine learning scientists to improve customer experiences across GoDaddy's various business units. In addition, you will empower data scientists to build and productionize features for ML by extending and scaling GoDaddy’s feature store with hundreds of features for online and offline inference.
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)
- 5+ years of experience in developing and deploying production software
- Experience building highly available distributed systems leveraging cloud technologies
- Experience with large scale data processing systems (Hadoop, Spark, etc.)
- Strong drive to learn, grow, and help engineers to do the same.
You might also have...
- Experience in software design of big-data solutions
- 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 an Agile software development environment.
We've got your back... Enjoy our many benefits (My Wallet), which may vary depending on role and tenure, including paid time off, 401k, bonus eligibility, equity grants and parental leave. Join one of our employee resource groups (Culture). Once approved, 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile Airflow AWS Computer Science DevOps Distributed Systems Engineering Hadoop Kubernetes Machine Learning .NET Open Source Python Scrum Spark Testing
Perks/benefits: Career development Equity Medical leave Parental leave Salary bonus Team events
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