Lead Machine Learning Scientist (REMOTE)

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 you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
~5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
~2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
~ A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
~ A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
~Master’s in computer science or equivalent quantitative fields

 
We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. Have a side hustle? 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. 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 .
GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.   Our recruiting team is available to assist you in completing your application. 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.
Remote working/work at home options are available for this role.