Google is offering a research internship in Computer Science or any related field. Google's Research and Machine Intelligence team is a high impact team that’s building the next generation of intelligence and language understanding for all Google products. You'll stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
About the Internship:
- As a Software Engineer in Research and Machine Intelligence, you work on a small team, collaborating closely with other product teams and you’re able to switch projects as Google's fast-paced business grows and evolves.
- You will work within your team on projects that utilize the latest techniques in Artificial Intelligence, Machine Learning (including Deep Learning approaches like Google AI) and Natural Language Understanding.
- Research Scientists aren't cloistered in the lab, but instead, they work closely with Software Engineers to discover, invent, and build at the largest scale.
- From creating experiments and prototyping implementations to designing new architectures, Research Scientists and Software Engineers work on challenges in machine perception, data mining, machine learning, and natural language understanding.
- You'll stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
Minimum Qualifications:
- Currently enrolled in a Master’s or PhD degree in Computer Science or a related technical field.
- Experience (classroom/work) in Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Data Mining and/or Machine Intelligence/Artificial Intelligence.
- Experience with one or more general-purpose programming languages: Java, C++ or Python.
- Experience with research communities and/or efforts, including having published papers (being listed as author) at conferences (e.g. NIPS, ICML, ACL, CVPR, etc).
Preferred Qualifications:
- Available to work full-time for a minimum of 13 weeks.
- Returning to your degree after completing the internship.
- Relevant work experience, including internships, full-time industry experience or as a researcher in a lab.
- Ability to design and execute research agendas.
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