Senior Machine Learning Scientist

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.

Hybrid:

Join Our Team

Our core machine learning team applies large-scale data to power various business areas, and our goal is to build cohesive navigation experience across channels and web pages, to help simplify and improve the shopping experience for everyday entrepreneurs across the world to quickly find what they need on our website. We will roll up our sleeves to build best in class of personalization to offer most relevant products and prices at the right time. Your contributions will affect millions of our customers and will have a direct impact on our business results. Whether you re passionate about crafting highly scalable systems or developing seamless customer experiences, we have a role for you. Join us and build the future of software at GoDaddy!

What youll get to do...

• You will provide technical leadership, identify and evaluate new technologies, tools, and frameworks and incorporate them into the teams workflow and processes.


• You will coordinate large scale and complex machine learning projects in production and cooperate with various teams to define project scope, goals, and success metrics.


• You will collaborate extensively with internal partners, program management, and engineering team to ensure that solution meet business needs, permit valid inferences and have functional feasibility.


• You will communicate results in a comprehensible manner to all levels of the company.


• You will mentor junior scientists in the team.

Your experience should include...

• 3+ years of industrial experience in deep learning and software development, with strong algorithm design skills.


• Hands-on experience with Deep Neural Network technologies, LLMs, and agentic AI.


• Proficient in programming languages such as Python or Java.


• Experience with machine learning platforms (e.g., PyTorch) and AWS.


• Familiarity with large-scale data analytics (e.g., Spark) and an MS or PhD or equivalent experience in computer science or a related quantitative field is required.

Weve got your back...

We also embrace our diverse culture and offer a range of Employee Resource Groups ( Culture ). Have a side hustleNo problem. We love entrepreneurs! Most importantly, come as you are and make your own way.