Intern – Machine Learning Scientist

Location Details: Tempe, AZ

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.

Hybrid-or-Remote:  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 meetings. Your hiring manager can share more about this role’s hybrid or remote designation.

This position is not eligible to be performed in Alaska, California, Colorado, Louisiana, Massachusetts, Mississippi, New Jersey, New York, North Dakota, Oregon, or the Virgin Islands.

Sponsorship
GoDaddy will not sponsor employment-based visas (e.g., candidates who now or in the future will require H-1B sponsorship) for this position at this level.

Join our team…

GoDaddy is looking for a Summer 2025 Machine Learning Scientist to join the core Applied ML team in building and improving GoDaddy products. We are on a mission to create a community of results driven ML scientists and engineers to learn, share and grow ML adoption at GoDaddy. We are committed to understanding all major business units very closely, and we thrive to empower business results by using innovative ML algorithms.

This is a temporary 12-week summer internship assignment.

What you’ll get to do…

• Articulate and understand business problems, identify challenges, formulate them as Machine Learning or Generative AI problems, and provide/prototype solutions.
• Provide technical assistance to identify and understand key business challenges and opportunities; develop end-to-end software solutions using ML or Gen AI.
• Collaborate extensively with internal partners, program management, and engineering teams to ensure that solutions meet business needs, permit valid inferences and have functional feasibility.
• Collect and process large volumes of data.
• Communicate results in a comprehensible manner to all levels of the company.
• Brainstorm and collaborate with other team members.

Your experience should include…

• MS, or PhD in computer science or equivalent quantitative fields.
• 1+ year experience (previous internships or full-time) as ML Scientist; preferably, with hands-on experience building Deep Neural Networks.
• A strong academic background in both machine learning (PhD preferred) and software development.
• Proficient programming skills in at least one high-level programming language like Python/R/Scala.
• Experience with distributed computing (Spark) is preferred.
• 2+ years’ experience of working with live data (data cleaning, data visualization and modeling) is a plus.
• Demonstration of collaboration and teamwork.
• Clear documentation, and communication skills, especially to business stakeholders.

About us… GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. 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 people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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