June 2, 2021 user

Minimum qualifications:

  • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences or a related technical field.
  • Experience in one area of computer science, e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar.

Preferred qualifications:

  • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
  • Experience with one or more general purpose programming languages, including: C/C++, Java, MATLAB, Go, Python, or similar.
  • Relevant experience as a researcher, including internships, full-time, or at a lab.
  • Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
  • Ability to speak and write in English fluently and idiomatically.
  • Ability to design and execute a research agenda.

About the job

Join us for a 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

Research Interns aren’t cloistered in the lab, but instead they work closely with Software Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects, as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, Research Interns and Software Engineers work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more. As a Research Intern, you will work on a specific project critical to Google’s needs. You might also stay connected to your research roots as a contributor to the wider research community by publishing papers.

There is always more information out there, and our research teams have a quest to find new ways to make it accessible and useful. We’re constantly refining our signature search engine to provide better results, expanding the scope and utility of our data-analytics systems, enhancing our Cloud applications and infrastructure, among a broad range of other Google products.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology’s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Responsibilities

  • Participate in cutting-edge research to develop solutions for real-world, large-scale problems.

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