Machine - Deep Learning Cloud Solutions Engineering Intern
Santa Clara , California
January 12, 2017
This position will focus on data analytics applications using deep learning and machine learning approaches, and be responsible for designing, coding and testing SW components required to complete data analytics solution stacks. Most frequently, this involves the creation of connectors, plug-ins, web-based user interfaces, databases, provisioning/management scripts, test tools/scripts, load generators, data collectors and other software components required to fully integrate and test a machine learning/deep learning solution stack.
Minimum Requirements:You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.

Candidate must be pursuing a MS degree in Computer Science, Computer Engineer, Electrical Engineer, Applied Mathematics, Machine Learning, or Robotics or PhD in Machine Learning, Applied Mathematics, Computer Science, Computer Engineer, related field

1 year experience in the following areas:
-SW development, integration and test, including hands on experience with Deep learning frameworks (Neon, Caffe, Tensorflow, MXNet, Torch, Theano) and developing applications on Infrastructure as a Services platforms like AWS, Google AppEngine, Windows Azure, Cloud Foundry.
-Deep Learning and different technologies, including CNN and RNN for computer vision, speech, and natural language processing applications.
-Experience with variety of software, languages, frameworks, operating systems including Linux, C , C, Python; Parallel Computing CentOS, MKL, MPI, OpenMP, OpenCV, OpenCL, Hadoop, SQL; Programming using FPGAs

A little about us:
Our vision is simple and direct. If it computes, it does it best with Intel. We embrace all aspects of computing.

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