Locations

Pittsburgh

We conduct both foundational and applied research in natural language processing, machine learning, image and video understanding, and optimization.

Our team in Pittsburgh conducts research in natural language processing, machine learning, image and video understanding, and optimization, and our impacts range from academic paper publications to software systems used throughout Google. We collaborate closely with research and applied groups in many areas, and also work closely with Carnegie Mellon University and other organizations in the extremely strong computer science community in Pittsburgh.

Research areas

Algorithms and Theory

Data Mining and Modeling

Economics and Electronic Commerce

Machine Intelligence

Machine Perception

Natural Language Processing

Software Engineering

Some of our teams

Brain Team

Perception

Some of our work

The makings of a smart cookie

A research team at Google developed a new technology for experimental design, and to demonstrate what this technology could do, our team came up with a real-world challenge: designing the best possible chocolate chip cookies.

Hyperparameter tuning in Cloud Machine Learning Engine using Bayesian Optimization

One of the most powerful capabilities of Google’s Cloud Machine Learning Engine is HyperTune, which is hyperparameter tuning as a service using Google Vizier.

Work with us

Research Scientist

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.

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Research Engineer

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.

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Research Intern

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.

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We believe open collaboration is essential for progress

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.

See outreach programs