Source description
About the role
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.
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
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