Senior Machine Learning Scientist, GoDaddy

• Are you passionate about Machine Learning?
• 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles
• Proficient in Python programming language
• Solid understanding of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc
• Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker
• Ability to work independently and collaboratively with multi-functional teams with excellent communication and presentation skill
• Experience in writing unit tests and documentation for ML code
• Familiarity with software engineering standard methodologies, such as version control, code review, CI/CD, etc

Desirable

• Join our DnAI team at GoDaddy as a Senior Machine Learning Scientist (MLS 3) and help make a difference for small businesses!
• We contribute to innovative machine learning models for Pricing + Bundling and Generative AI projects
• Collaborate with ML engineers to develop ML pipelines and ensure the quality and reliability of our ML solutions
• Develop and implement sophisticated algorithms for Pricing and AI projects using PyTorch
• Craft and refine ML models to improve their performance, scalability, and adaptability
• Analyze and interpret complicated data sets to advise model development and ensure accuracy and efficiency
• Stay abreast of the latest developments in ML and artificial intelligence, integrating new methodologies and techniques as appropriate
• Collaborate across multiple teams to integrate ML solutions within broader product and platform initiatives
• Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments
• Drive the exploration and adoption of brand new ML technologies to maintain our competitive edge in the industry