Find the right career path for you with Google Research. Our team needs talented people with experience in AI, Machine Learning and Natural Language Processing.

Our Health AI team embraces a model of embedded research and development where scientists work in tight integration with clinical, product, and engineering teams, collaborating with academic and clinical partners globally to conduct research into improving healthcare.

Discover how Google's Project Contrails is using AI to help prevent contrails and mitigate aviation's impact on global warming.

Learn models of language that are predictable and understandable, perform well across the broadest possible range of linguistic settings and applications, and adhere to our principles of responsible practices in AI.

From Accra to Zürich, to our home base in Mountain View, we’re looking for talented scientists, engineers, interns, and more to join our teams not only at Google Research but all research projects across Google.

Med-PaLM was the first AI system to obtain a passing score on USMLE-style questions from the MedQA dataset, with an accuracy of 67.6%. Med-PaLM 2 improves on this further with state of the art performance of 86.5%.

Responsible AI Meet the teams driving innovation Our teams advance the state of the art through research, systems engineering, and collaboration across Google.

Teams at Google AI are focused on advancing computer science and developing intelligent systems. Our teams span disciplines, each with their own projects, methodologies, and goals.

Foundational Research: Build foundational insights and methodologies that define the state-of-the-art of Responsible AI development across the field; Impact at Google: Collaborate with and contribute to teams across Alphabet to ensure that Google’s products are …

Machine Intelligence at Google raises deep scientific and engineering challenges, allowing us to contribute to the broader academic research community through technical talks and publications in major conferences and journals.