Is the Staff Machine Learning Scientist position at GoDaddy fully remote?

Yes, this Staff Machine Learning Scientist position at GoDaddy is a remote position. The role is available for candidates in United States.

Is this a full-time or part-time Staff Machine Learning Scientist role?

This is a full-time Staff Machine Learning Scientist position at GoDaddy.

What benefits does GoDaddy offer for this position?

GoDaddy offers the following benefits: Dental Insurance, Vision Insurance, Retirement Plan, Parental Leave, Life Insurance.

What is the salary range for the Staff Machine Learning Scientist position?

The salary range for this Staff Machine Learning Scientist role is $140k - $273k.

How do I apply for the Staff Machine Learning Scientist position at GoDaddy?

You can apply for this Staff Machine Learning Scientist position by clicking the "Apply Now" button on this page, which will take you to GoDaddy's application portal.

Staff Machine Learning Scientist at GoDaddy

United States

$140k - $273k

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... <ul> <li>Lead the development and deployment of machine learning and generative AI solutions that solve complex customer and business problems at scale.</li> <li>Drive innovation across key strategic initiatives including personalization, pricing optimization, experimentation, agentic AI, and simulation-based modeling.</li> <li>Partner closely with Engineering, Product Management, and business stakeholders to translate ambiguous problems into impactful AI-powered solutions.</li> <li>Influence technical direction, modeling approaches, and AI strategy while mentoring other scientists and engineers across the organization.</li> <li>Measure, analyze, and optimize the business impact of machine learning solutions through experimentation and data-driven decision making.</li> </ul> Your experience should include... <ul> <li>Advanced knowledge of machine learning theory and demonstrated success applying ML techniques to real-world business challenges.</li> <li>Hands-on experience building, deploying, and scaling production AI, machine learning, or generative AI solutions.</li> <li>Strong experience leveraging modern AI tools and large language model ecosystems, including platforms such as Claude, GPT, Bedrock, or equivalent technologies.</li> <li>Proven ability to communicate complex technical concepts to both technical and non-technical audiences and influence cross-functional stakeholders.</li> <li>Track record of operating independently, driving initiatives through ambiguity, and delivering measurable business outcomes.</li> </ul> You might also have... <ul> <li>Experience developing personalization, recommendation, ranking, or customer targeting systems.</li> <li>Background building conversational AI, chatbots, NLP applications, or retrieval-augmented generation (RAG) solutions.</li> <li>Experience with agentic AI architectures, autonomous workflows, and emerging generative AI technologies.</li> <li>Expertise designing and evaluating experimentation frameworks, A/B testing methodologies, or simulation-based models.</li> <li>Experience working on customer-facing AI products within SaaS, e-commerce, technology, or high-scale consumer environments.</li> </ul> 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...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit <a href="https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Faboutus.godaddy.net%2Fabout-us%2Foverview%2Fdefault.aspx&data=05%7C01%7Cklilas%40godaddy.com%7C4a7c273441f14a72548908dab30d54f3%7Cd5f1622b14a345a6b069003f8dc4851f%7C0%7C0%7C638019167147789183%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=JKqNxY8z5E%2BjfKXCtVVYGLmGXuv31qCpLmWP960VLzo%3D&reserved=0">About Us</a>.  At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our <a href="https://careers.godaddy/diversity" target="_blank">Diversity Careers page</a>. We also embrace our diverse culture and offer a range of Employee Resource Groups (<a href="https://careers.godaddy/culture" target="_blank">Culture</a>). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.  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 <a href="https://www.godaddy.com/legal/agreements/equal-opportunity-employment-statement">EEO policy.</a> Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to <a href="mailto:myrecruiter@godaddy.com">myrecruiter@godaddy.com</a>.  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. GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.<div class="content-pay-transparency"><div class="pay-input"><div class="description">Compensation & Benefits:  What We Offer:  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:  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.</div><div class="title">Bay Area (Santa Clara, San Francisco) and Los Angeles:</div><div class="pay-range">$182,000—$273,000 USD</div></div><div class="pay-input"><div class="title">Austin, D.C. Metro, CA (non-Bay Area), HI, IL, MA, NH, OR, VA, WA:</div><div class="pay-range">$157,000—$235,000 USD</div></div><div class="pay-input"><div class="title">New York City Metro, Kirkland/Seattle:</div><div class="pay-range">$166,800—$250,200 USD</div></div><div class="pay-input"><div class="title">All other US locations not previously listed:</div><div class="pay-range">$140,000—$210,000 USD</div></div></div>

Apply Now

Remote Opportunity

Staff Machine Learning Scientist

Join GoDaddy as a staff professional working remotely from United States. Explore the role, benefits, and apply in one place.

Staff Machine Learning Scientist

GoDaddy

Full Time

$140k - $273k

2 months ago

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.

United States

Staff

Machine Learning

Generative AI

Large Language Models

+5 more

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.

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... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

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.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.

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.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Compensation & Benefits:

What We Offer:

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:

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.

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

Benefits

Dental Insurance
Vision Insurance
Retirement Plan
Parental Leave
Life Insurance

Skills

Machine Learning

Generative AI

Large Language Models

Python

Personalization

Pricing Optimization

Experimentation

Agentic AI

Ready to Apply?

Join GoDaddy today

Salary Range

$140k - $273k

Posted 2 months ago

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