Member of Technical Staff - Post-Training Research

Build and own end-to-end post-training research for the full LLM lifecycle platform, working with a research lead and Forward Deployed Engineers. Tackle high-impact bets across async and agentic RL, on-policy distillation, long-context RL, and small routing models, and collaborate with outside research labs. Partner with engineering to turn frontier techniques into products like post-training frameworks and distributed-training approaches, with results tied to production workloads.