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Intel Corporation in Guadalajara, Mexico, is offering a student intern position in the AI Frameworks team to optimize AI workloads with PyTorch on Intel Xeon platforms.
You will work with experienced engineers on real-world AI performance projects, contribute to PyTorch and related libraries, and gain hands-on experience with ML framework internals, model optimization, and platform enablement in a hybrid work setting.
Join Intel's AI Frameworks team in Guadalajara, Mexico as an intern and help optimize AI workloads using PyTorch Framework for current and next-generation Intel Xeon platforms.
You will work alongside experienced engineers on real-world AI performance and framework projects, contributing to PyTorch and its ecosystem while gaining hands-on experience with machine learning framework internals, model optimization, software performance analysis, and platform enablement. Your work will help improve the experience and performance of AI applications used by developers and customers worldwide.
As part of the Data Center Group (DCG), the PyTorch and AI Frameworks Ecosystem team focuses on developing cutting-edge solutions for artificial intelligence applications. This team is dedicated to enabling advancements in AI frameworks, tools, and systems that power the next generation of data center technologies and products.
Through collaboration, innovation, and a passion for technology, DCG supports Intel's broader mission to drive progress in high-performance computing and AI-powered solutions.
Join us in shaping the future of AI and make a meaningful impact through your work. Take the next step in your career with Intel, where innovation and growth are key.
A candidate who accepts an offer of employment in Mexico is required to present their own personal identification information and numbers for the following: Mexican Security Number (NSS), Tax Identification Number (RFC) and CURP identification number.
Job Type: Student / Intern
Shift: Shift 1 (Mexico)
Primary Location: Mexico, Guadalajara
Position of Trust: N/A
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.
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. * Job posting details (such as work model, location or time type) are subject to change.
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condi