The PyTorch Vanguard team is at the forefront of machine learning innovation, community engagement, and open-source development. We are dedicated to pushing the boundaries of ML technologies while fostering a vibrant, global community of developers and researchers. Our team combines cutting-edge ML engineering with community-driven initiatives to advance the field of artificial intelligence.Software Engineer, Systems ML - PyTorch Performance and Engagement Responsibilities:Lead and contribute to high-impact projects at the intersection of ML, PyTorch development, and community engagementDevelop and maintain CUDA MODE, one of the world’s largest ML systems communitiesOrganize and execute ML competitions across performance, on device, fine tuning and code generationContribute to the development of state-of-the-art code-generation models with open-source principlesImprove and expand Torchao, our PyTorch quantization and performance libraryInitiate and grow new projects and communities within the PyTorch ecosystemMinimum Qualifications:
The PyTorch Vanguard team is at the forefront of machine learning innovation, community engagement, and open-source development. We are dedicated to pushing the boundaries of ML technologies while fostering a vibrant, global community of developers and researchers. Our team combines cutting-edge ML engineering with community-driven initiatives to advance the field of artificial intelligence.Software Engineer, Systems ML - PyTorch Performance and Engagement Responsibilities:
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