Julia S.

Julia S. is a Machine Learning Research Engineer at Scale AI since January 2023, where responsibilities include iterating on fine-tuned models to enhance data labeling accuracy and efficiency. Previous experience encompasses roles at Snap Inc. as a Software Engineer Intern, where Julia significantly reduced costs in ML workflows, and at Meta, where Julia improved recommendation models through innovative neural network designs. Academic roles at Carnegie Mellon University as a Teaching Assistant and Research Assistant involved teaching machine learning concepts and leading web app development to address wage gaps. Additional internships at Roblox and VMware focused on optimizing engineering processes and automated testing frameworks. Julia holds a Bachelor of Science in Artificial Intelligence from Carnegie Mellon University and is pursuing a Master of Science in Computer Science at Georgia Institute of Technology.