Member of Engineering (Reinforcement Learning) - poolside

You would be working 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 push the frontier of reasoning and coding capabilities of foundational models. Responsibilities include researching and experimenting on ways to improve reasoning and code generation for LLMs, owning the full experiment life cycle, staying updated with latest research, designing and analyzing training/fine-tuning/data generation experiments, writing high-quality code, and collaborating with the team.