Posted: Thursday, February 8, 2018 9:19 AM
As a Machine Learning Architecture Intern at Micron Technologies, you will be analyzing different neural networks, deep learning applications and their computational and 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 and 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
Skills and Qualifications Required:
:Pursuing a degree in a Computer Science, Computer/Electrical Engineering or a related field
:Prefer a candidate doing Graduate research in this field with strong experience on mapping deep learning processing requirements to hardware subsystems
: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.
: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
We recruit, hire, train, promote, discipline and provide other conditions of employment without regard to a persons 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, Micron's Human Resources Department at (or
Keywords: Seattle Washington (US:WA) United States (US) CNBU (Compute and Networking Business Unit) Entry Internship Engineering Not Applicable
• Location: seattle
• Post ID: 61556312 seattle