Staff Machine Learning Scientist

About the role

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.

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.

Requirements

• 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.

Qualifications

• 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.

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.

Benefits

• Competitive pay
• Generous time off
• 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

Pay

The estimated pay ranges for this role are listed below. In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.

Schedule

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. Your hiring manager can share more about this role’s hybrid or remote designation.

Benefits

• Medical, dental, and vision insurance
• 401(k)-retirement plan
• Parental and wellness leave
• Retirement savings program
• 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
• Other benefits in accordance with GoDaddy’s benefit plans and applicable law.

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. Your hiring manager can share more about this role’s hybrid or remote designation.

Pay & Benefits

• Compensation & Benefits: What We Offer
• Compensation: The estimated pay ranges for this role are listed below. In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.

How GoDaddy Uses AI in its Recruiting Process

At GoDaddy, we use assistive AI tools to help identify how an applicant’s skills and experience align with the job-related criteria for the role. The tool does not make hiring decisions, automatically reject candidates, or evaluate personal characteristics unrelated to job qualifications, such as age, health, or other legally protected characteristics. The tool supports, but does not replace, our recruiters’ and hiring managers’ independent review and evaluation of applications.