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Machine Learning Research Intern Co-Op

Website AMD

What you do at AMD changes everything 
At AMD, we push the boundaries of what is possible.  We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies – building blocks for gaming, immersive platforms, and the data center.
Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the “extra mile” to achieve unthinkable results.  It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world.   If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.

AMD Research continuously explore new ways to address the increasing performance and efficiency demands in different application domains, including Green AI. This AI research yields novel results while considering the computational cost.

We offer limited internship positions to divergent thinkers interested in ML and hardware architecture.

The goals of this internship are:

Developing new tools and methods to distill ML models for a target hardware platform.
Exploring new processing schemes suitable for a set of ML models.
The outcome of this internship includes contributions to AMD future products (i.e. tools and silicon), open-sourced libraries, and publications in related venues.

During this internship, interns expand their network by working with different groups inside the company, receive mentorship from field experts, and get constructive feedback by participating in the meetings and presenting their internship progress. Interns also access our cutting-edge hardware and enjoy competitive compensation at a beautiful campus near Boulder, Colorado.

Education Requirements

Ph.D. or MSc student in Electrical Engineering or Computer Science/Engineering.
Hands-on experience with ML frameworks such as PyTorch and/or TensorFlow.
Understanding computer architecture.
Understanding ML methods.
Adequate communication, teamwork, and problem-solving skills.
Expected Start Date: Fall 2022 (the sooner the better!)
Duration: 6 months, working full-time (40 hours per week)
Position is flexible with onsite work at our Longmont, Colorado Office or fully remote if the candidate prefers

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