We work on machine learning, and deep learning in particular. From foundational research to applications of AI involving language, images, 3D and video.
In Berlin, our teams work on a range of topics from foundational to more applied and involve data comprised of text, images, video, audio and more. We are engaging and collaborating closely with Berlin’s vibrant academic and startup communities.
We propose a simple and broadly applicable approach that avoids the inefficiency of training multiple models for different loss trade-offs and instead uses a single model that covers all of them.
We document our large-scale human evaluations using 10k video and 69k audio clip pairwise comparisons that demonstrate high correlations between our metrics and human perception. We are also releasing the source code for both Fréchet Video Distance and Fréchet Audio Distance on github.
Whether developing experiments, prototyping implementations, or designing new architectures, Research Scientists work on real-world problems in computer science. Our Research Scientists work across data mining, natural language processing, hardware and software performance analysis, improving compilation techniques for mobile platforms, core search, and much more.
Our research-focused software engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. From creating experiments and prototyping implementations to designing new architectures, research engineers work on machine learning, data mining, hardware and software performance analysis, improving compilers for mobile platforms and much more.
Our technical interns are key to innovation at Google and make significant contributions through applied projects and research publications. Internships take place throughout the year, and we encourage students from a range of disciplines, including CS, Electrical Engineering, Mathematics, and Physics to apply to work with us.
This 12-month program is designed to jumpstart your career in machine learning through collaborations with scientists and engineers from a variety of research teams.
We’re proud to work with academic and research institutions to push the boundaries of AI and computer science. Learn more about our student and faculty programs, as well as our global outreach initiatives.
