Job Details

Intern Machine Learning Architecture Engineer

Company name
Micron Technology, Inc.

Location
Folsom, CA

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Req. ID: 93065 

As a Machine Learning Architecture Intern at Micron Technologies in Embedded Business Unit, you will be analyzing different neural networks, deep learning applications and their computational & memory requirements. These requirements will help define Micron's next generation products optimized for Machine Learning applications. Micron is a technology leader in memory and storage products, and a market leader in embedded markets. As an intern in the architecture team, the candidate will get a unique opportunity and develop deep understanding of many current and new technologies that can be leveraged to address future of machine learning implementation in real applications.  

 

Your responsibilities and engagements will include, but not limited to:

*Support definition of memory & computation requirements of image processing applications with ML *Generate models of vision processing neural nets using standard frameworks and libraries *Develop and document knowledge of low level hardware architecture and dataflow for Machine Learning architectures *Evaluate and analyze different nets in terms of performance, memory requirements, power consumption, area, complexity and flexibility on sample hardware platforms *Develop software and scripts to perform benchmarking and generate reports

Qualifications:

Successful students for this internship will have:

*Experience with machine learning software packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch) *Strong background in Python and C/C++ *Ability to convey rigorous mathematical concepts and considerations to non-experts *Ability to measure performance requirements of a neural network, i.e. # of operations, # of weights, accuracy, etc.

Desired Skills:

*Completed some coursework in Artificial Intelligence and Deep Learning *Understanding of computer vision, imaging applications, and required algorithms *Exposure to GPU technology and hardware accelerators *Knowledge of machine learning architecture *Experience with CUDA/ Nvidia GPU

Education:

Pursuing a degree in a Computer Science, Computer/Electrical Engineering or a related field

Prefer a Graduate student doing research in ML field with strong experience/interest on mapping deep learning processing requirements to hardware subsystems

We recruit, hire, train, promote, discipline and provide other conditions of employment without regard to a person's race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity and expression, pregnancy, veteran's status, or other classifications protected under law.  This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.

Each manager, supervisor and team member is responsible for carrying out this policy. The EEO Administrator in Human Resources is responsible for administration of this policy. The administrator will monitor compliance and is available to answer any questions on EEO matters.

To request assistance with the application process, please contact Micron's Human Resources Department at 1-800-336-8918 (or 208-368-4748).

Keywords:  Folsom || California (US-CA) || United States (US) || EBU (Embedded Business Unit) || Entry || Internship || Engineering || Not Applicable ||

 

Company info

Micron Technology, Inc.
Website : http://www.micron.com/

Company Profile
For more than 30 years, Micron’s teams of dreamers, visionaries, and scientists have redefined innovation—designing and building some of the world’s most advanced memory and semiconductor technologies. We develop the technologies that transform what's possible. In fact, you likely use our memory every day—in products from computing, networking, and server applications, to mobile, embedded, consumer, automotive, and industrial designs. As one of the most prolific patent holders in the world we continually rethink, recast, and advance new ideas to bring innovation to broader markets and find ways our technology can inspire new applications or make fundamental improvements to existing designs. Our roots are in memory, the core strength of our business. As we look toward the future, we’ll continue to build on our past achievements by leveraging the synergies between our core memory business and diversified products and technologies that help drive innovation and growth in new markets.

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