Member of Engineering (Reinforcement Learning Infrastructure) - poolside - Remote - Global

You will work on our reinforcement learning team focused on improving reasoning and coding abilities of Large Language Models through reinforcement learning. This is a hands-on role where you’ll work end-to-end from researching new exploration or training algorithms, to designing and scaling up RL environments, to implementing your ideas across the stack. You will have access to thousands of GPUs in this team. Your mission is to build and scale the infrastructure that enables reliable, efficient training of Large Language Models with Reinforcement Learning at the frontier.