Senior Applied Scientist, Artificial General Intelligence
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The role
The Senior Applied Scientist will advance pre-training methodologies for Generative AI models and work closely with customers, researchers, and engineers.
You will explore scaling laws, hardware-aware model design, and low-precision training to maximize efficiency.
You will design and evaluate optimization methods, learning objectives, and curriculum strategies, along with self-supervised learning approaches.
You will define learning objectives, apply reinforcement learning techniques, and conduct efficient hyperparameter searches.
You will develop distributed training solutions and contribute to AI-assisted research for LLMs and multimodal systems.
You will collaborate with academic and industry partners to push the envelope of GenAI capabilities and customer experiences.
You will explore scaling laws, hardware-aware model design, and low-precision training to maximize efficiency.
You will design and evaluate optimization methods, learning objectives, and curriculum strategies, along with self-supervised learning approaches.
You will define learning objectives, apply reinforcement learning techniques, and conduct efficient hyperparameter searches.
You will develop distributed training solutions and contribute to AI-assisted research for LLMs and multimodal systems.
You will collaborate with academic and industry partners to push the envelope of GenAI capabilities and customer experiences.
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