You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that’s building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure.