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AI Model Optimization Engineer
2 months ago
We are seeking a highly skilled AI Model Optimization Engineer to join our team at Advanced Micro Devices Inc. (AMD). As an AI Model Optimization Engineer, you will play a critical role in optimizing and accelerating Generative AI models to drive innovation and excellence in the field of artificial intelligence.
Key Responsibilities- Research and design novel methods for efficient Generative AI model optimization.
- Develop and implement algorithmic model optimization methods, including quantization, sparsity, and neural architecture search.
- Publish research papers and present findings at industry conferences.
- Collaborate with cross-functional teams to integrate AI models into software applications and platforms.
- PhD or Master's degree in Artificial Intelligence, Machine Learning, or a related field.
- Strong background in deep learning frameworks, such as PyTorch, JAX, ONNX, or TensorFlow.
- Experience with model compression, quantization, and end-to-end inference optimization.
- Excellent coding skills in Python, with C/C++ skills a plus.
- Strong knowledge of artificial intelligence, deep learning, or machine learning.
- Ability to write academic papers and contribute to technical innovation.
- Project experience on generative tasks.
- Experience with large language models, stable diffusion, NeRF, or text-to-video generation.
- Recent publications in conferences such as NeurIPS, CVPR, ECCV/ICCV, ICML, or ICLR.
As an AI Model Optimization Engineer at AMD, you will have the opportunity to work on cutting-edge projects, collaborate with a team of highly skilled industry specialists, and contribute to the advancement of AI technology. You will also have access to cutting-edge technology, training programs, mentorship opportunities, and a clear career progression path.