The Machine Learning Security Internship is designed for students pursuing an associates, bachelors, masters, or PhD, graduating between December 2025 and July 2026. The internship will last for 12 weeks, starting on June 16th, and will be conducted in-person at potential locations such as Sherman Oaks, CA. Interns will work closely with a dynamic group focused on using Machine Learning to enhance documentation understanding. The role requires the ability to write robust code in Python, experience with database querying, and familiarity with machine learning frameworks and libraries.