Research across Google is advancing the state-of-the-art in almost every domain of computer science. The scale at which Google operates allows research teams integrated throughout Google to pursue work of strategic interest, and makes the innovation behind our products possible.


Machine intelligence roles

Machine Intelligence research at Google is focused on building the next generation of intelligence and language understanding for all Google products. We are working on projects that utilize the latest techniques in Machine Intelligence (including Deep Learning approaches like Google Brain) and Natural Language Processing. We impact products across Google including Search, Maps and Google Now. We have some of the best and brightest minds working on solving unique and challenging machine intelligence projects, and we’re looking for talented research scientists and software engineers that have experience in MI to join us. Googlers also stay connected to their research roots as active contributors to the wider research community by partnering with universities and publishing papers.

Note: For interns, please use the above link and indicate your interest in the Research and Machine Intelligence team in the 'Cover letter/other notes' section of the applications. This will help us route your application to the appropriate recruiter.

Google provides the most inspiring research environment in the world: learning problems with massively large data sets, truly motivating applications with great diversity, real impact of research on the design of products and solutions, and the best researchers and engineers.

Google Research gives you both the freedom to explore new ideas and the opportunity to innovate in products which impact Google's users. Being able to work with the top researchers in the world and to mentor the next generation researchers is also very rewarding.

Before joining, the advantages of Google Research were obvious in terms of scope and scale. But once here, you realize there's way more to it: you get to influence great products by working with great engineers, while having the freedom to do research alongside some of the world experts in machine learning.