Job Details

Intern - Machine Learning Architect Spring 2020

Company name
Micron Technology, Inc.

Location
Folsom, CA, United States

Employment Type
Full-Time

Industry
It, Internship

Posted on
Nov 30,2019

Valid Through
Mar 14,2020

Apply for this job






Profile

 

Req. ID: 146025 

 

Micron Technology's vision is to transform how the world uses information to enrich life and our commitment to people, innovation, tenacity, collaboration, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and professionalism while supporting our global community.

 

As a Machine Learning Architecture Intern at Micron Technologies in Embedded Business Unit, you will be analyzing different AI architectures/workloads, neural networks, deep learning applications and their computational & memory requirements. These requirements will help define Micron's next generation memory and process-in-memory 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 signal processing & 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

Help develop process-in-memory architectures by analyzing the compute & data flow and identifying optimal ways the solve the problem

*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:

*Strong background in computer architecture *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 *Background in signal processing, specifically image signal processing *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

About Us

As the leader in innovative memory solutions, Micron is helping the world make sense of data by delivering technology that is transforming how the world uses information. Through our global brands - Micron, Crucial and Ballistix - we offer the industry's broadest portfolio. We are the only company manufacturing today's major memory and storage technologies: DRAM, NAND, NOR and 3D XPoint(tm) memory. Our solutions are purpose built to leverage the value of data to unlock financial insights, accelerate scientific break throughs and enhance communication around the world.

 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's Human Resources Department at 1-800-336-8918 or 208-368-4748 and/or by completing our General Contact Form

Keywords:  Folsom || California (US-CA) || United States (US) || EBU (Embedded Business Unit) || Intern || Internship || Engineering || Not Applicable || Tier 1 || 

Company info

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

Similar Jobs:
sr. oracle developer
Location : Folsom, CA
job description job summary: Our client is currently seeking a Sr. Oracle Developer for a 6 month contract to hire opportunity located in Folsom, CA. Summary: Sr. Engineer - Software will work as a senior member of a software deve...
Technical Recruiter
Location : Sacramento, CA
Job Description: JOB DESCRIPTION Are you looking for a service/sales career with unlimited income potential* For an opportunity to leverage your previous IT Recruitment success and be a creative solution finder for top companies i...
Engineering - Undergrad Intern
Location : Folsom, CA
I Engineering - Undergrad Intern Intel Corp. Folsom , CA 95763 Posted Yesterday Apply This Job is not relevant Tell us why Engineering - Undergrad Intern Job Description Responsibilities may be quite diverse of a nonexempt techni...
By using Employment Crossing, I was able to find a job that I was qualified for and a place that I wanted to work at.
Madison Currin - Greenville, NC
  • All we do is research jobs.
  • Our team of researchers, programmers, and analysts find you jobs from over 1,000 career pages and other sources
  • Our members get more interviews and jobs than people who use "public job boards"
Shoot for the moon. Even if you miss it, you will land among the stars.
EmploymentCrossing - #1 Job Aggregation and Private Job-Opening Research Service — The Most Quality Jobs Anywhere
EmploymentCrossing is the first job consolidation service in the employment industry to seek to include every job that exists in the world.
Copyright © 2019 EmploymentCrossing - All rights reserved. 168 192