Principal AI Scientist
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Job Location:
Seattle, OR - USA
Monthly Salary:
$ 165500 - 248500
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 is a remote position so youll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska Mississippi North Dakota or the Virgin Islands.
Join our Team...
Our team is a part of the Airo Growth and Innovation within GoDaddy and we are looking to have a principal AI / machine learning scientist join this core Applied ML team. Our goal is to build and grow a community of ML scientists and engineers to learn share and grow. We are committed to understanding all major business units very closely and we thrive to empower business results by leveraging AI and state-of-the-art ML algorithms.
This core Applied AI and Machine Learning team utilizes large-scale data to power various business areas and our goal is to create cohesive navigation experience across channels and web pages to help simplify and enhance the shopping experience for everyday entrepreneurs across the world to quickly find what they need on our website.
We are seeking a highly experienced AI/ML Scientist to lead research and development in Agentic AI systems and Reinforcement Learning (RL). This role focuses on designing intelligent agents capable of autonomous decision-making planning and reasoning in complex environments. You will work at the intersection of large-scale foundation models multi-agent systems and RL-based optimization driving innovation for next-generation AI products.
What youll get to do...
- Lead research and development of advanced Reinforcement Learning algorithms including policy optimization hierarchical RL and multi-agent RL systems.
- Design and implement agentic architectures that enable autonomous reasoning planning and sophisticated tool use.
- Pioneer the integration of Large Language Models with RL to create adaptive goal-driven AI behaviors.
- Formulate hypotheses and conduct large-scale experiments to continuously improve agent performance and capabilities.
- Build sophisticated simulation environments for testing agentic behaviors and reward strategies.
- Leverage large-scale data to create cohesive navigation experiences that simplify shopping for entrepreneurs worldwide.
- Partner with product and engineering teams to translate breakthrough research into production-ready AI solutions.
- Mentor and develop junior scientists and engineers on RL and agentic AI best practices.
- Drive innovation across major business units by applying state-of-the-art ML algorithms to real-world challenges.
Your experience should include...
- Strong background in both machine learning/NLP and software development with hands-on Deep Neural Network experience.
- Proven expertise in Reinforcement Learning algorithms and autonomous agent design.
- Advanced algorithm design and programming skills in low-level languages (C/Java) and scripting languages (Python/R/Scala).
- Experience working with live data including data cleaning visualization and modeling.
- Experience with distributed computing frameworks (Hadoop/Spark).
- Track record of solving meaningful real-world problems using principled ML techniques.
You might also have...
- PhD (Preferred) in Machine Learning Artificial Intelligence or related field with focus on Reinforcement Learning.
- Publications in top-tier AI/ML conferences (NeurIPS ICML ICLR AAAI ACL etc.).
- Experience with multi-agent systems and game-theoretic approaches.
- Background in integrating foundation models with traditional RL frameworks.
- Contributions to open-source AI/ML projects or frameworks.
- Experience deploying ML models at scale in production environments.
- Track record of mentoring and developing technical talent.
We encourage you to apply even if your experience or skillset doesnt 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 productsperiod. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas experiences and perspectives. But we also know thats not enough to build true equity and belonging in our communities. Thats why we prioritize integrating diversity equity inclusion and belonging principles into the core of how we work every dayfocusing not only on our employee experience but also our customer experience and operations. Its 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 befound 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 .
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 doesnt accept unsolicited resumes from recruiters or employment agencies.
Compensation & Benefits:
What We Offer:
Working at GoDaddy offers many benefits including competitive pay generous time offparental and wellness leave healthcareretirementsavings program and much more. Offerings vary by location.
Thisrole is eligible for a comprehensive benefits package which includesmedical dental and vision insurance a 401(k)-retirementplan paid sick time paidflexibletime off paid parental leave life insurance short- and long-term disability AD&D insurance mental healthor EAP programs remote or hybrid work optionspaidholidays paid Wellness days tuition assistance adoption surrogacy and fertility benefits dependent daycare and backup care benefitsEmployeestock purchase plan financial education and advice; and other benefits in accordance with GoDaddys benefit plans and applicable law.
Actual compensation andbenefitseligibility will bedeterminedbased on permissible non-discriminatory factors such as skills experience and geographic location.
Compensation:
The estimated pay ranges for this role are listed 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:
$215000 - $323000 USD
Austin D.C. Metro CA (non-Bay Area) HI IL MA NH OR VA WA:
$185500 - $278500 USD
New York City Metro Kirkland/Seattle:
$197200 - $295800 USD
All other US locations not previously listed:
$165500 - $248500 USD
Required Experience:
Staff IC
