Note: The job is a remote job and is open to candidates in USA. GoDaddy empowers entrepreneurs worldwide with tools and services to build and manage their businesses online. The Staff Machine Learning Scientist will lead the development and deployment of machine learning and generative AI solutions, drive strategic initiatives such as personalization and pricing optimization, and partner with engineering, product, and business stakeholders. The role also influences AI strategy, mentors technical staff, and measures business impact through experimentation and data-driven decision-making.

Responsibilities

• Lead the development and deployment of machine learning and generative AI solutions that solve complex customer and business problems at scale
• Drive innovation across key strategic initiatives including personalization, pricing optimization, experimentation, agentic AI, and simulation-based modeling
• Partner closely with Engineering, Product Management, and business stakeholders to translate ambiguous problems into impactful AI-powered solutions
• Influence technical direction, modeling approaches, and AI strategy while mentoring other scientists and engineers across the organization
• Measure, analyze, and optimize the business impact of machine learning solutions through experimentation and data-driven decision making

Skills

• Advanced knowledge of machine learning theory and demonstrated success applying ML techniques to real-world business challenges
• Hands-on experience building, deploying, and scaling production AI, machine learning, or generative AI solutions
• Strong experience leveraging modern AI tools and large language model ecosystems, including platforms such as Claude, GPT, Bedrock, or equivalent technologies
• Proven ability to communicate complex technical concepts to both technical and non-technical audiences and influence cross-functional stakeholders
• Track record of operating independently, driving initiatives through ambiguity, and delivering measurable business outcomes
• Experience developing personalization, recommendation, ranking, or customer targeting systems
• Background building conversational AI, chatbots, NLP applications, or retrieval-augmented generation (RAG) solutions
• Experience with agentic AI architectures, autonomous workflows, and emerging generative AI technologies
• Expertise designing and evaluating experimentation frameworks, A/B testing methodologies, or simulation-based models
• Experience working on customer-facing AI products within SaaS, e-commerce, technology, or high-scale consumer environments

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 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 benefits
• Surrogacy benefits
• Fertility benefits
• Dependent daycare benefits
• Backup care benefits
• Employee stock purchase plan
• Financial education and advice
• 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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