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.
We are always looking for talented and creative computer scientists for Software Engineer and Research Scientist positions. We hire people who are driven to rapidly innovate in areas such as Security and Privacy, Information Retrieval, Machine Intelligence, Data Mining, Machine Perception, HCI, Education, Natural Language Processing, Speech Recognition, Machine Translation, Network Architecture, and Distributed Systems, to name just a few. Google employs thousands of PhDs across these and other disciplines to work on real-world problems with high potential for impact.
Google technical interns are key players in our daily innovation and have the opportunity to make big contributions. Google technical internship opportunities are full-time positions and take place throughout the year. We accept students from multiple disciplines – including CS, EE, Maths, Physics – so students studying a variety of subjects are encouraged to apply. Google internship start and end dates are flexible with regard to academic schedules, but you’ll be expected to commit to at least three months of full-time work.
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.