Google Inc. – Student Research Collaboration (Internship)
To see the full job description and to apply go to Northeastern’s on-line portal, NUcareers, and click on Job ID# 1853831. Application deadline date 3/30/2018.
Google is and always will be an engineering company. They 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 AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
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, Google is working on projects that utilize the latest techniques in Machine Learning (including Deep Learning approaches like Google Brain) and Natural Language Understanding.
Duration
Unspecified
Funding
Unspecified
Eligibility
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.