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Software Engineer Intern

Location: Raleigh, North Carolina
Date Posted: 03-15-2018

F&B Plant Digitalization and AI Intern

 seeking an enthusiastic and driven AI (artificial intelligence) Intern to contribute to its research and development activities in the US Corporate Research Center (USCRC) based in Raleigh, NC.

As an intern with USCRC, you will have

• Opportunities to work in local teams with global network of researchers on projects with strategic impact and high visibility

• Opportunities to engage in cutting-edge proof of feasibility and industrial AI research and development activities

• A flexible, interdisciplinary, and inspiring work environment

Duties and responsibilities:

• Actively participate in applied research activities in the broader areas of iOS and Android application development, software integration, artificial intelligence and deep learning applications for embedded, enterprise, and cloud environments, resulting in proofs of concept, prototypes, patents, and/or academic publications

• Investigate application of speech synthesis, natural language processing and deep learning technologies for food and beverage (F&B) plant digitalization that satisfies customer requirements for value-added services and offerings

• Contribute to development of digital tools for plant electrical safety assessment and integration of AI tools and libraries provided by 3rd-parties

Requirements for this position:

• Creativity, initiative, enthusiasm, and results orientation to drive your ideas towards solving real business problems

• Extensive application development experience across multiple platforms e.g. Xamarin development experience is a big plus.

• Must be able to provide example apps developed for iOS or Android

• Practical knowledge of AI tools and technology stacks (both commercial and open source) for advanced analytics such as deep learning and image processing

• Familiarity with Microsoft Azure and Google deep learning tools. Experience with data collection and cleansing approaches and tools

• Experience in areas such as image processing, Convolutional Neural Networks (CNN), free text annotation, natural language processing, and Recurrent Neural Networks (RNN)

• Design and implementation experience in multiple platforms and languages e.g. Java, Python, C/C++

• Familiarity with deep learning tools and frameworks (e.g. TensorFlow, Theano, Caffe, Torch, Pylearn2, etc.)

• Willingness to quickly acquire in-depth knowledge of new technologies and application domains

• Ability to communicate effectively and efficiently in English

• Familiarity with plant electrification systems is a plus

Education/Experience Requirements

• MS or PhD in Computer Science(post-doc), Electrical Engineering, Physics, or related fields with one or more years of relevant hands-on experience

• Graduating PhD candidates and post-docs with relevant hands-on experience will also be considered.

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