Research Intern - AI Systems & Architecture

As a Research Intern in AI Systems & Architecture, you will contribute to advancing the state-of-the-art in AI by focusing on systems and architecture challenges. Your responsibilities include: Designing and implementing novel algorithms and frameworks for efficient AI model training and inference. Collaborating with a team of world-class researchers and engineers to prototype and evaluate new system designs. Conducting experiments to analyze performance, scalability, and energy efficiency of AI workloads on various hardware platforms.

Qualifications and requirements: Currently enrolled in a PhD program in Computer Science, Electrical Engineering, or a related field. Strong background in machine learning, deep learning, and AI systems. Experience with programming languages such as Python, C++, or CUDA.

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