Help advance the future of computer science

Google’s AI activities in China are focused on K-12 and university education, research on natural language understanding and market algorithms, user experience, and development of our globally available tools such as TensorFlow.

Our teams in Berlin work on machine learning, and deep learning in particular. From foundational research to applications of AI involving language, images and video.

Our teams in Cambridge work on fairness, interpretability and visualization of machine learning algorithms and data; new methods in machine learning and systems for machine learning research; applications of machine learning in the basic sciences; machine perception; and operations research.

Our research teams in Tel Aviv and Haifa work on problems across computer science, from machine learning, natural language understanding, and machine perception to innovative AI research in health, search, and crisis response, collaborating closely with a strong academia and startup ecosystem.

Our teams in Munich aim to provide businesses of all sizes the ability to unlock the power of their own data through AI and automation.

In New York, our teams create useful solutions to fundamental computational problems in theory and algorithms, machine learning, journalism, speech, and other data-driven disciplines, impacting both the field overall as well as Google’s products.

Researchers from our expanding team in France will work closely with the local AI community on issues like health, science, art and the environment.

The research teams at our Mountain View headquarters and surrounding areas work on problems across computer science, from machine perception and natural language understanding to systems and networking research.

Our teams in Zürich tackle challenges across computer science, with a focus on machine learning, natural language understanding, machine perception, algorithms and data compression.