Research Engineer Graduate (AI Training Systems & RL Infrastructure - Seed Infra) - 2026 Start (PhD)

Build and improve large-scale AI training and reinforcement learning (RL) infrastructure for foundation models, multimodal LLMs, and image/video generation systems. Design distributed training strategies with advanced parallelism, prototype end-to-end RL training workflows, and develop fault-tolerant systems for heterogeneous compute. Diagnose performance bottlenecks across the training stack, create tooling/monitoring/observability, and collaborate on system–algorithm co-design to turn research prototypes into production-ready infrastructure.