Note: The job is a remote job and is open to candidates in USA. GoDaddy empowers entrepreneurs worldwide with tools and services to build, grow, and manage their online businesses. The Principal AI/ML Scientist will architect and scale generative AI, agentic AI, personalization, and recommendation systems while defining technical strategy and building end-to-end AI/ML platforms. The role partners with cross-functional teams to deliver production AI solutions and intelligent customer experiences at global scale.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Medical, dental, and vision insurance
- A 401(k)-retirement plan
- Paid sick time
- Paid flexible time off
- Paid parental leave
- Life insurance
- Short- and long-term disability
- AD&D insurance
- Mental health or EAP programs
- Remote or hybrid work options
- Paid holidays
- Paid Wellness days
- Tuition assistance
- Adoption, surrogacy, and fertility benefits
- Dependent daycare and backup care benefits
- Employee stock purchase plan
- Financial education and advice
- A corporate bonus, subject to the terms of applicable plans and individual eligibility
- Equity awards, subject to the terms of applicable plans and individual eligibility
Company Overview
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