Student Research Collaboration job in Washington, DC| Recruit Arrow
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Title
Student Research Collaboration
Location : District of Columbia, Washington
Refer job # ZVJB338366
 
Job Responsibilities and Requirements: Research in machine intelligence has already impacted user-facing services across Google including Search, Maps and Google Now. Google Research and Machine Intelligence teams are actively pursuing the next generation of intelligent systems for application to even more Google products. To achieve this, we re working on projects that utilize the latest techniques in Machine Learning (including Deep Learning approaches like Google Brain) and Natural Language Understanding. You are a talented Research Scientist that has applied experience in the fields of Machine Learning, Natural Language Processing and Machine Intelligence. We do research differently here at Google. 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. 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 Scientists and Software Engineers work on challenges in machine perception, data mining, machine learning, and natural language understanding. You stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. There is always more information out there, and Research and Machine Intelligence teams have a never-ending quest to find it and make it accessible. Qualifications Minimum qualifications: Must be currently enrolled in a BS, MS or PhD degree program in Computer Science, related technical field or equivalent practical experience, and must be returning to the program after the completion of the internship. Experience (classroom or work related) 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 including: C/C , Java, MATLAB or Python. Experience with research communities and/or efforts, including publishing papers (being listed as author) at conferences such as NIPS, ICML, ACL, CVPR, etc. Preferred qualifications: Relevant work experience, including full time industry experience or as a researcher in a lab. Strong publication record with four or more publications at conferences such as NIPS, ICML, ACL, CVPR, etc. Ability to design and execute on research agenda.
 
 
 
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