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    1. Home
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    4. Research Intern London 2023
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    About the job

    Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud and our computing, storage, and networking infrastructure. To achieve this, we’re working on a wide variety of projects that utilize the latest technologies that push the boundaries of what is possible. At Google, research-focused engineering interns are embedded throughout the company, contributing to the setup of large-scale tests and deploying promising ideas quickly and broadly. 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 architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and more.

    Participation in the internship program requires that you are located in one of the specific country locations identified for this role for the duration of the internship program. We will discuss and agree with you what country this will be during the recruitment process.

    This internship is intended for students who are pursuing a Master's degree or a PhD with an anticipated graduation date before December 2024, depending on their program and unique circumstances.

    Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

    Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

    Qualifications

    Minimum qualifications

    • Currently enrolled in a Master’s degree or PhD in Computer Science or a related technical field.
    • Experience in Natural Language Understanding, Computer Vision, and/or Machine Learning.
    • Experience with one or more general purpose programming languages: Java, C++, Python, or Go.
    • Experience with research from previous internships, full-time industry experience, personal projects, lab work, and/or published papers (being listed as author).

    Preferred qualifications

    • Returning to your degree after completing the internship.
    • Ability to design and execute on research agendas.
    • Available to work full-time for a minimum of 13 weeks.