About

Ofir Nachum is a highly experienced Researcher at Google, with over 8 years of relevant experience in the field. His expertise lies in the areas of recommendation systems, deep learning, and machine learning. He has a strong background in computer science, having completed both a Bachelor's degree and a Master of Engineering (MEng) degree in the field from the Massachusetts Institute of Technology. Prior to working at Google, Ofir worked as a Software Engineer - Machine Learning at Quora, where he made significant improvements to several recommendation systems through feature engineering, data cleaning/preparation, optimizing metric evaluation, and more. He also developed an automated quality detection system for text, which utilized NLP and deep learning techniques along with a network trust propagation algorithm. This work resulted in reduced reliance on human labor and a significantly better user experience. Before that, Ofir worked as an Algorithmic Trader Intern at Jump Trading, where he developed and designed a trading strategy using statistical models applied over a large pool of market data. Throughout his career, Ofir has built and maintained the infrastructure for several ML systems, including data pipeline, training, testing, and productionization. He is highly skilled in Python, C++, and neural networks, among other technologies. Overall, Ofir is a talented Research Scientist with a proven track record of performing deep learning research and making significant improvements to recommendation systems. He is a valuable asset to any team working in the field of machine learning and AI.