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 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.

About This Role

’s hybrid or remote designation. 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... Join GoDaddy's Applied AI and Machine Learning team, where you'll help shape the future of how millions of small business owners leverage AI to grow and run their businesses. Our team develops machine learning models and generative AI solutions that directly influence revenue, customer experience, personalization, pricing, and business outcomes at scale.

As a Staff Machine Learning Scientist, you'll operate with a high degree of autonomy, partner closely with engineers and product leaders, and drive innovative AI initiatives from concept to production in a fast-moving environment that values purposeful action and measurable impact. What you'll get to do... 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. Your experience should include... 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. You might also have... 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. 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...