Applied Scientist, Artificial General Intelligence
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El puesto
Work on pre-training methodologies for Generative AI models within a collaborative, fast-moving team.
Advance scaling laws and hardware-informed architectures with low-precision training to boost efficiency.
Develop optimization methods, learning objectives, and curriculum designs for GenAI systems.
Explore deep learning theories on efficient hyperparameter search and self-supervised learning.
Apply reinforcement learning methods and distributed training solutions to real-world GenAI tasks.
Engage with customers and the academic community to accelerate AI-assisted research and impact.
Advance scaling laws and hardware-informed architectures with low-precision training to boost efficiency.
Develop optimization methods, learning objectives, and curriculum designs for GenAI systems.
Explore deep learning theories on efficient hyperparameter search and self-supervised learning.
Apply reinforcement learning methods and distributed training solutions to real-world GenAI tasks.
Engage with customers and the academic community to accelerate AI-assisted research and impact.
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