While generative AI models, such as Large Language Models (LLMs) and diffusion models, have reached unprecedented results, they are inefficient and lack interpretability, especially when involved in complex reasoning and scientific computing. In the Emergent Machine Intelligence Team at Hewlett Packard Labs, we are dedicated to pushing the boundaries of what's possible with artificial intelligence. As a Senior Research Scientist, you will be at the forefront of our efforts to develop groundbreaking generative AI models. You will be crafting cutting-edge algorithms and applications by augmenting state-of-the-art LLMs with extensive test-time compute, adopting tools from symbolic AI, incorporating physics simulators, and employing insight from statistical physics and non-equilibrium thermodynamics. You will work closely with a multidisciplinary team of engineers, researchers, and product managers, during full development cycles of pre-training, fine-tuning, and inference. Together, our goal is to build scalable, efficient, and innovative generative AI systems. Join us to be a part of a team that shapes the future of high-performance AI.