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

If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled engineers in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as solve technical problems in model evaluation, simulation and more.

What youll get to do...

• Develop and implement advanced machine learning algorithms.


• Build Intelligent Software using Large Language Models (AI Agents).


• Design and refine ML models to enhance their performance, scalability, and robustness.


• Assess, design and curate comprehensive evaluations for open-ended GenerativeAI problems.


• Collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives.


• Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry.

Your experience should include...

• 6+ years of overall experience in machine learning related roles and Master s degree or PhD in computer science, engineering, statistics, or related fields.


• Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc.


• Familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code.


• Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc.


• Proficiency with prompt engineering and large language models (LLM) and Natural Language Processing (NLP).

You might also have...

• Experience building conversational systems.


• Experience in designing comprehensive evaluations and verification methods.


• Proficiency in Typescript is a plus.

Weve got your back...

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.