Summary
Kayleigh Migdol is an AI privacy-focused software engineer in the San Francisco Bay Area with a decade of experience building ML infrastructure and production model training systems. She currently works on TikTok/ByteDance’s AI Privacy team, applying hands-on engineering to privacy-sensitive model deployment and evaluation. At Snap she owned integration testing for model training, migrated TensorFlow layers to Keras, implemented pytest regression suites, and built recommendation and retrieval pipelines with Airflow. She holds a BS in Statistics and Machine Learning from Carnegie Mellon and has a consistent track record of translating research into reliable production systems. Outside core engineering work she founded and grew Snap’s Jewish Employee Resource Group, supporting over 200 members—reflecting a blend of technical leadership and community building.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Applied Mathematics and Computer Science (Not Completed), 3.78 GPA, Bachelor of Science - BS, Applied Mathematics and Computer Science (Not Completed), 3.78 GPA at Humboldt State University
Bachelor of Science - BS, Statistics and Machine Learning, Bachelor of Science - BS, Statistics and Machine Learning at Carnegie Mellon University
High School Diploma, High School Diploma at Leigh High School
English