Profile

Baruch Epshtein

Meta, Technion IIT

Domain of Research: Machine Vision,Artificial Intelligence,Artificial Intelligence,Artificial Neural Networks,Computational Learning Theory,Computer Vision,Image Processing,Knowledge Representation,Machine Learning,Machine Perception,Machine Vision,Natural Language Processing,Supervised and Unsupervised Learning

I am a highly experienced Senior Applied Research Scientist and Machine Learning Engineer with a Ph.D. in Electrical Engineering from the Technion. My expertise is uniquely centered on large-scale recommender systems and deep learning theory. My current work at Meta is critical to monetization, where I specialize in the design and optimization of production-scale ads ranking models using advanced LLM-inspired attention architectures and high-performance, low-latency infrastructure. Academically, I have contributed fundamental research to Deep Learning Theory and PAC-Bayes Bounds, with publications in top-tier venues like NeurIPS. My professional background includes translating this rigor to industrial systems for Mobileye (Domain Adaptation for Autonomous Driving), Ambient.ai (Cloud-scale Object Detection), and specialized Edge AI for video comprehension. I am proficient in all facets of the ML lifecycle, from cutting-edge research to high-impact deployment.