Summary
Jessie Salas is an engineering manager and maker with 11 years of experience building privacy-first multimodal and voice AI systems at companies including Meta, Apple, and Deloitte. She leads cross-disciplinary teams of ML engineers, researchers, and linguists to ship conversational interfaces and large-scale AI infra for devices from VR headsets to wearables. As a founder and consultant (Snaptic AI) and lecturer at UC Berkeley, she blends hands-on engineering with product-minded design thinking and mentoring. Jessie co-founded a nonprofit to broaden STEM access, demonstrating a commitment to inclusive teams and talent development beyond the workplace. Her background in cognitive science and computational linguistics informs pragmatic approaches to ASR, NLU, and synthetic data generation. She’s equally comfortable in the lab, classroom, or on stage—having presented at venues from Berkeley to Mobile World Congress—bringing technical depth and creative problem-solving to novel AI challenges.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.) Cognitive Science with concentration in Computational Modeling & Linguistics, Bachelor of Arts (B.A.) Cognitive Science with concentration in Computational Modeling & Linguistics at University of California, Berkeley
Spanish, French, portuguese (brazilian)