Principal ML Scientist

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.