Senior Applied Scientist, Artificial General Intelligence
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The role
Lead pre-training research for Generative AI models, focusing on scalable and efficient methods for GenAI systems.
Collaborate with external partners and the academic/research community to drive AGI innovations.
Explore scaling laws, hardware-informed model architectures, and low-precision training to push model capabilities.
Advance optimization methods, learning objectives, curriculum design, and self-supervised learning for robust representations.
Investigate reinforcement learning, distributed training solutions, and AI-assisted research to accelerate progress.
Contribute to advancing Large Language Models and multimodal systems to deliver real-world impact.
Collaborate with external partners and the academic/research community to drive AGI innovations.
Explore scaling laws, hardware-informed model architectures, and low-precision training to push model capabilities.
Advance optimization methods, learning objectives, curriculum design, and self-supervised learning for robust representations.
Investigate reinforcement learning, distributed training solutions, and AI-assisted research to accelerate progress.
Contribute to advancing Large Language Models and multimodal systems to deliver real-world impact.
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