Research Engineer Graduate (Agent Systems & AI Coding Environment – Seed Infra) – 2026 Start (PhD)

About the Team
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Responsibilities
- Build agent harness and execution environments for AI coding and knowledge tasks (code execution, tool integration, sandboxing, system interaction)
- Develop scalable orchestration frameworks for multi-step agent workflows (planning, tool use, memory, coordination)
- Design evaluation and benchmarking systems to measure agent performance across complex, long-horizon tasks
- Improve agent performance via prompting, data curation, and post-training in collaboration with model and RL teams
- Partner with research and product teams to productionize agent systems

The base salary range for this position in the selected city is $241680 - $456000 annually.