Applied Scientist, Artificial General Intelligence

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.