Principal ML Scientist

About this role

Location Details:

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. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team...

We're looking for a Principal AI/ML Scientist to help define and build the next generation of AI-powered experiences across GoDaddy. This role combines deep technical expertise, architectural leadership, and hands-on execution to shape our Generative AI, Agentic AI, recommendations, and personalization capabilities at global scale.

You'll partner closely with Product, Engineering, Data, Design, and business leaders to solve complex customer problems and create intelligent experiences that help entrepreneurs start, grow, and thrive.

If you're passionate about building production AI systems, influencing technical strategy, and turning emerging AI technologies into real customer value, we'd love to talk with you.

What you'll get to do...

• Architect and scale Generative AI, Agentic AI, personalization, and recommendation systems that serve millions of customers globally.

• Design and implement end-to-end AI/ML platforms including data pipelines, model training, evaluation, deployment, monitoring, and governance.

• Define technical strategy, reusable architecture patterns, and platform capabilities that accelerate AI innovation across GoDaddy.

• Lead development of Agentic AI solutions capable of autonomous reasoning, decision making, and action within customer-facing experiences.

• Partner with Engineering, Product, Data, and Analytics teams to translate complex business challenges into scalable AI-powered solutions.

Your experience should include...

• 10+ years of experience building and deploying large-scale AI/ML systems in technology, SaaS, or consumer-focused environments.

• Proven expertise developing customer-facing Agentic AI applications, LLM-powered solutions, and intelligent automation systems.

• Strong experience with recommendation systems, personalization platforms, ranking models, predictive modeling, and experimentation frameworks.

• Deep knowledge of modern AI/ML frameworks, cloud platforms, distributed systems, software engineering best practices, and MLOps.

• Hands-on proficiency with Python and AI development ecosystems, including familiarity with Claude Code and AI-assisted software development workflows.

You might also have...

• Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.

• Experience designing and evaluating production-grade LLM, RAG, multi-agent, and orchestration architectures.

• Experience building AI platforms supporting observability, governance, responsible AI, security, and compliance requirements.

• Track record influencing architecture and technical strategy across multiple organizations without direct authority.

• Experience mentoring senior engineers and scientists through architecture reviews, design guidance, and technical leadership.

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

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 .

We also embrace our diverse culture and offer a range of Employee Resource Groups ( Culture ). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

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. Compensation & Benefits:

What We Offer:

Working at GoDaddy offe

Similar jobs

• Principal ML Engineer — Typeface · Palo Alto, CA
• (Senior) ML Scientist — Insitro · South San Francisco, CA
• Applied ML Scientist — Pdtpartners · New York, NY
• Lead ML Engineer / Data Scientist — Hilberts · Remote
• Senior Applied ML Scientist — Sentilink · Remote
• Principal Software Engineer, ML System Architect — Waymo · Mountain View, San Francisco
• Principal ML Ops Engineer — Pragmatike · Cambridge
• Product Manager, ML Research — Suno · Boston