Research Engineer, Machine Learning (Reinforcement Learning)
Blends reinforcement learning research with engineering, building scalable RL infrastructure, distributed training across GPU clusters, and novel training environments for agentic LLMs. Involves profiling, optimization, caching, and debugging distributed systems, with close collaboration between research and production teams.