Ria Verma is a Senior Machine Learning Engineer with 11 years of experience building and shipping large-scale ML and generative AI systems from research to product. Based in Menlo Park, she has driven LLM alignment, RLHF, and production inference optimizations at Meta—delivering parallel and speculative decoding advances that sped up inference by up to 1.7x while preserving accuracy—and now leads LLM evaluation and RL efforts at Netflix. Her background spans recommendation and video-ranking wins (including a Reels initiative that added 14M watch hours), robotics and perception research at Georgia Tech, and multiple production-focused internships at Google and FAIR. Ria combines deep research instincts with cross-functional leadership, having coordinated multi-discipline teams to operationalize cutting-edge model architectures and align draft models via knowledge distillation and reverse-KLD techniques. Notably, she has a track record of turning academic projects into deployable systems that meet stringent product latency and quality constraints.
11 years of coding experience
7 years of employment as a software developer
Master's degree Machine Learning, Master's degree Machine Learning at Georgia Institute of Technology
Website for CS 3630 taught in Spring 2020 by Frank Dellaert and Seth Hutchinson
Contributions:20 PRs, 32 pushes, 1 branch in 2 months
frankjavascriptspringseth
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Ria Verma - Senior Machine Learning Engineer at Netflix