Summary
Sina Ghiassian is a Machine Learning Manager currently leading generative technologies (LLMs and diffusion models) at Netflix, with eight years of experience bridging research and product-grade AI. Previously he led teams and research efforts at Spotify focused on the intersection of AI and recommendation systems, and his academic background includes a PhD and postdoc at the University of Alberta under advisor Rich Sutton, reflecting deep roots in reinforcement learning and foundational ML. He has moved quickly from hands-on research roles to engineering management, shipping applied ML across large-scale consumer platforms. His training spans computer science, neuroscience, and computing science, giving him a multidisciplinary perspective on modeling, representation, and human-centered AI. Known for translating advanced models into product value, he combines rigorous academic foundations with practical experience scaling ML in production. A subtle differentiator is his blend of neuroscience-informed thinking and RL pedigree, which informs his approach to generative and recommendation systems.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Alberta
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at The University of British Columbia
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of Tehran
Persian, English