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.

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.

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%.

Announcing the launch of Google Research India - an AI Lab focused on advancing fundamental computer science and AI research, and applying it to tackle big problems in the field of healthcare, agriculture and education.

May 18, 2023 · Today, PAIR is part of the Responsible AI and Human-Centered Technology team within Google Research, and our work spans this larger research space: We advance foundational research on human-AI interaction (HAI) and machine learning (ML); we publish educational materials, including the PAIR Guidebook and Explorables (such as the recent ...

Jan 8, 2024 · Google’s Responsible AI User Experience (Responsible AI UX) team is a product-minded team embedded within Google Research. This unique positioning requires us to apply responsible AI development practices to our user-centered user experience (UX) design process.