Denis Yarats (born 1987) is a computer scientist and entrepreneur, best known as the co-founder and Chief Technology Officer (CTO) of Perplexity AI, an AI-powered search engine launched in 2022.^[1][2]

Yarats received his Ph.D. in computer science from New York University, where his research focused on reinforcement learning and natural language.^[3]

In his early career, Yarats held research positions at several institutions, including Facebook AI Research (FAIR).^{[citation needed]} His work during this time focused on developing scalable algorithms for learning and decision-making in complex environments.^[4]

Yarats worked as a Software Development Engineer at Microsoft from 2011 to 2013, where he worked on the Bing search engine. From 2013 to 2016, he worked at Quora as a Staff Machine Learning Engineer in charge of technical projects, and from 2016 to 2022 he worked as an AI Research Scientist at Facebook AI Research (FAIR, now Meta AI). ^[3]

Yarats co‑authored Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels (Yarats, Kostrikov & Fergus, ICLR 2021), which introduced the DrQ method using simple image-based data augmentations to enable model-free RL algorithms like SAC and DQN to learn directly from pixels and achieve state-of-the-art results on both DeepMind Control Suite and Atari 100k benchmarks.^[5]

Yarats AI research has been cited over 9,115 times. His work has been praised by other researchers, including Yann LeCun, who later became an angel investor in Perplexity AI. ^[6]

In 2022, Yarats co-founded Perplexity AI alongside Aravind Srinivas, Johnny Ho and Andy Konwinski. As CTO, he led the development of the company's flagship product, an AI powered search engine designed to deliver concise, source-backed answers to user queries.^[7] The platform gained significant user traction and investment, with the company securing over $70 million in Series B funding and reaching millions of active users within two years of its launch.^[8]