AI Frameworks Intern: PyTorch Optimizer on Intel (Hybrid)

Intel Corporation; Región Centro; Hybrid; MXN 89,000 - 179,000; Part time

Job summary

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.

Qualifications

• Pursuing a Bachelor's or Master's degree in a related field with at least 1 year remaining as a student.
• 6+ months of experience in Python and C++.
• 6+ months of experience in PyTorch.
• 6+ months of experience in ML and DL concepts.
• 6+ months of experience in Git and collaborative development.
• Experience with AI-assisted software tools (e.g., GitHub Copilot, Claude Code) is a plus.

Responsibilities

• Support enablement, profiling, debugging, and optimization of AI workloads on Intel server platforms.
• Contribute to PyTorch and ecosystem libraries to improve functionality and performance on Intel hardware.
• Investigate and resolve build, test, and runtime issues across Linux and Windows for AI models.
• Collaborate with engineers and the open-source community via GitHub and upstream contributions.
• Document findings and share knowledge with the team.

Skills

Python

C++

PyTorch

ML concepts

Git

AI tools

Education

Bachelor's or Master's in Computer Science/Engineering/AI

Tools

Git

Linux

Job description

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.