Shae Selix
About Shae Selix
Shae Selix is a Staff Software Engineer at Snorkel AI, where they focus on machine learning systems and foundation models. With a diverse educational background and experience in data science, Selix has contributed to addressing complex global challenges through technology.
Work at Snorkel AI
Shae Selix has been employed at Snorkel AI as a Staff Software Engineer since 2023. In this role, Selix focuses on machine learning systems and foundation models, contributing to the development of advanced AI technologies. The position is based in the San Francisco Bay Area, where Selix applies expertise in software engineering to enhance Snorkel AI's offerings.
Previous Experience at Salesforce
Prior to joining Snorkel AI, Shae Selix worked at Salesforce for three years. Selix held two positions: Data Scientist from 2016 to 2018 and Senior Machine Learning Engineer from 2018 to 2019. In these roles, Selix contributed to various data-driven projects, leveraging machine learning techniques to improve Salesforce's products and services.
Experience at Calm
Shae Selix served as a Staff Machine Learning Engineer at Calm from 2019 to 2023. During this four-year tenure, Selix focused on developing machine learning models to enhance user experience and engagement within Calm's wellness applications. This role further solidified Selix's expertise in applying machine learning to real-world applications.
Education and Expertise
Shae Selix has a diverse educational background. Selix earned a Bachelor of Science in Environmental Science from Brown University and a Master of Public Health in Biostatistics from Yale University. Additionally, Selix completed the Artificial Intelligence Professional Program at Stanford University. This combination of studies provides a strong foundation in both environmental science and public health, alongside advanced knowledge in artificial intelligence.
Background in Data Science
Shae Selix has a robust background in data science, with experience in addressing complex global issues through technology. This expertise has been applied in various roles, particularly in developing machine learning solutions that contribute to significant advancements in the field. Selix's work reflects a commitment to leveraging data science for impactful outcomes.