Internship Description
University or Organization: Google interns Offered Locations:- Accra, Ghana
- Zürich, Switzerland; Munich, Germany; Berlin, Germany; London, UK
- Paris, France; Grenoble, France; Amsterdam, Netherlands
- Montreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
- Ann Arbor, MI, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; Madison, WI, USA; New York, NY, USA; Chapel Hill, NC, USA; Portland, OR, USA; Pittsburgh, PA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Washington, DC, USA
Acceptable Course or Subjects:
Minimum qualifications:- Must be currently enrolled in a BS, MS or PhD degree program in Computer Science, Linguistics, Computational Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences including Biomedical, Chemistry, Materials Science, Physical Modelling, Physics and Scientific Computing or a related technical field or equivalent practical experience.
- Experience (classroom or work related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy, Trust & Safety, Software Engineering, Programming Languages, Distributed Systems, Human Computer Interaction, Networking,Operating Systems, Computer Architecture, Data Mining and/or Machine Intelligence (Artificial Intelligence).
- Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB or Python.
- Experience contributing to research communities and/or efforts, including publishing papers (being listed as author) at conferences such as NIPS, ICML, ACL, CVPR, etc.
- Returning to the degree program after the completion of the internship.
- Demonstrated publication record, with multiple publications at conferences (e.g. NeurIPS, ICML, ACL, CVPR etc).
- Relevant work experience, including industry experience or as a Researcher in a lab.
- Ability to design and execute on a research agenda.
About the job
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. We do research differently here. 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. 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 in machine intelligence and machine learning applications.
- Develop solutions for real world, large-scale problems.