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Graduate Internship - Data Science (MS/PhD)
Graduate Internship - Data Science (MS/PhD)-September 2024
Phoenix
Sep 5, 2026
ABOUT INTEL
Intel creates world-changing technology that enriches the lives of every person on earth.
10,000+ employees
Technology
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About Graduate Internship - Data Science (MS/PhD)

  Job Description

  Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world.

  With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower peoples digital lives.

  Do you love to solve technical challenges that no one has solved yet? Do you enjoy working with cross functional teams to deliver IP solutions for products that impact customers lives? If so, Come join us to do something wonderful.

  We are looking for world class data engineers to help us build the future of technology.

  In addition to the qualifications listed below, the ideal candidate will also demonstrate the following traits:

  Excellent written and communication skills

  Works well independently and develops quick engineering solutions for complex problems

  Skilled at interfacing with engineers and managers by providing schedule updates

  High problem-solving skills and good tolerance for ambiguity

  Knows how to prioritize tasks independently

  Natural focus on quality, discipline, and accurate results for engineering customers

  Contributes and works well in a multi-site team setting

  By applying to this prescreen posting, you are expressing interest in other job opportunities with Intel.

  Opportunities that you will be considered for:

  Software Engineer

  Data Scientist

  Cloud Software Development Engineer

  Software Data Engineer

  AI Software Development Engineer

  AI Algorithm Engineer

  Senior Systems Data Analyst

  Machine Learning Engineer

  Qualifications

  Education:

  Candidate must be pursuing a Masters degree in Data Science with 6+ months of educational or industry experience.

  Discipline in: Data Science

  Additional Information:

  Life at Intel: https://jobs.intel.com/en/life-at-intel

  For information on Intel's immigration sponsorship guidelines, please see:

  https://www.intel.com/content/www/us/en/jobs/hiring.html

  Inside this Business Group

  Intel's Human Resources group is responsible for hiring, developing and retaining the best and brightest employees while continuing to strengthen the company's culture and values. Intel Human Resources provides first-rate, cost-effective services and support to employees worldwide and is dedicated to advancing Intel's business goals.

  Other Locations

  US, NM, Albuquerque; US, OR, Hillsboro; US, TX, Austin; US, CA, Folsom; US, CA, Santa Clara; US, GA, Atlanta

  Posting Statement

  All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

  Benefits

  We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

  Annual Salary Range for jobs which could be performed in US, California: $63,000.00-$166,000.00

  *Salary range dependent on a number of factors including location and experience

  Working Model

  This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.

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