Applied Deep Learning Research Scientist Sparsity jobs at Nvidia
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91 jobs found
23.06.2024
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Nvidia Applied Deep Learning Research Scientist Sparsity United States, California
Researching methods (adjusting model architectures, training procedures, etc.) to enable sparsity in neural networks while maintaining the quality of the results. Proposing hardware features to enable sparsity, studying their impact...
Numerics: research of low-bit number representations and their effect on neural network inference and training accuracy. This includes requirements by the existing state of art neural networks, as well as...
Research, design, implement and publish novel, large-scale generative models that improve multi-modal LLMs with a focus on audio. Design and implement machine learning techniques to adapt generative models to downstream...
Research, design and implement novel methods for efficient deep learning. Publish original research. Collaborate with other team members and teams. Mentor interns. Speak at conferences and events. Work with product...
Develop, Train, Fine-tune, and Deploy LLMs for driving embodied conversational AI systems including multimodal understanding, speech synthesis, image generation, UI and animation rendering and control, environment interaction, and dialog reasoning...
Crafting and implementing compiler optimization techniques for deep learning network graphs. Designing novel graph partitioning and tensor sharding techniques for distributed training and inference. Performance tuning and analysis. Code-generation for...
Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience). 2+ years of relevant work or research experience in performance analysis and compiler optimizations. Ability to...
Researching methods (adjusting model architectures, training procedures, etc.) to enable sparsity in neural networks while maintaining the quality of the results. Proposing hardware features to enable sparsity, studying their impact...
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