SML 301 TA Opportunity

The Center for Statistics and Machine Learning at Princeton University has openings for an AI to participate in delivering SML301 -- Data Intelligence: Modern Data Science Methods in the Spring 2025 semester. Students in SML 301 will work on several projects in data science as well as a final research project. Lecture topics include supervised and unsupervised machine learning methods, such as regularized linear and logistic regressions, cross-validation, random forest, neural-network with dense and convolutional layers and additional topics designed by the instructor.  

The AI will assist with designing assignments, hold office hours, assist with grading, hold Python workshops for students who are beginners in Python, and lead precept sessions. 

Requirements: experience with and enthusiasm for machine learning and data science; expertise in data analysis using Python. Experience with PyTorch and other Python ML libraries.  To be qualified, the candidate must be a registered Princeton graduate student for the semester that they work.

Interested candidates should contact Derek Sollberger, and Day Yi. Please attach a resume/CV and both undergraduate and graduate unofficial transcripts. Please copy Susan Johansen on the email.  Applications will be considered on an ongoing basis.