Staff ML Scientist

GoDaddy; United States; Hybrid; USD 140,000 - 273,000; Full time

Job summary

GoDaddy's Applied AI and Machine Learning team is shaping how millions of small businesses leverage AI to grow and run their operations. As Staff ML Scientist, you will own end-to-end AI initiatives from concept to production with autonomy, working with engineers and product leaders to deliver measurable impact.

You'll tackle complex problems in personalization, pricing optimization, and experimentation, partnering across the organization to turn ambiguity into valuable AI-powered solutions

Qualifications

• Advanced knowledge of ML theory.
• Hands-on production AI deployment.
• Experience with large language model ecosystems.
• Ability to communicate complex concepts to diverse audiences.
• Proven independent initiative and impact.

Responsibilities

• Lead development and deployment of ML and generative AI solutions at scale.
• Drive innovation across personalization, pricing, experimentation, and AI strategy.
• Partner with Engineering, Product Management, and stakeholders to translate problems into AI solutions.
• Influence technical direction and mentor other scientists and engineers.
• Measure business impact via experimentation and data-driven decisions.

Skills

ML theory

Production ML

LLM ecosystems

Cross-functional communication

Independent initiative

Tools

Claude

GPT

Bedrock

Job description

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.

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.

Compensation & Benefits

Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental and wellness leave, healthcare, retirement savings program, and much more. Offerings vary by location.

This role is eligible for a comprehensive benefits package, which includes 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; and other benefits in accordance with GoDaddy’s benefit plans and applicable law.

Actual compensation and benefits eligibility will be determined based on permissible, non‑discriminatory factors such as skills, experience, and geographic location.

Compensation

Bay Area (Santa Clara, San Francisco) and Los Angeles: $182,000—$273,000 USD

Austin, D.C. Metro, CA (non‑Bay Area), HI, IL, MA, NH, OR, VA, WA: $157,000—$235,000 USD

New York City Metro, Kirkland/Seattle: $166,800—$250,200 USD

All other US locations not previously listed: $140,000—$210,000 USD

Colorado Residents

In any materials you submit, you may redact or remove age‑identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Equal Opportunity

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.