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Graduate Intern Technical

Bengaluru, India Job ID JR0207138 Job Category Intern/Student Work Mode Hybrid Experience Level Intern
Job Description
This is a 12-month internship position in Intel's Emerging Systems Lab. The candidate will be contributing to Intel's research in the Probabilistic Methods in Machine Learning. The candidate will work with the team on developing innovative algorithms to apply probabilistic methods to problems in image/video processing and computer vision. The work will further involve implementing the developed algorithms efficiently on Intel platforms, and working with business units to integrate the solutions into Intel's product offerings. The candidate will also have opportunities to publish their work in top-tier academic journals and conferences. Must possess the below qualifications to be considered for this position. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.
Qualifications
� Candidate must be pursuing a M.S./M.Tech./Ph.D. degree in Electrical Engineering, Computer Engineering or a related field. � Knowledge of machine learning and AI algorithms including deep-learning � Coursework in probability theory, machine learning, linear algebra � Familiarity with deep-learning frameworks such as Tensorflow and Pytorch � Coursework in probability and statistics � Knowledge or experience with one or more of the following is a plus: image processing, video processing, image/video compression, computer vision.
Inside this Business Group
Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.


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, and benefit programs. Find more information about our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.

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.
Maggie, Offensive Security Researcher

Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”

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