Job Description

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
- Design and build end-to-end reinforcement learning (RL) systems for large-scale models, covering rollout, training, evaluation, and deployment pipelines.
- Develop scalable and fault-tolerant RL infrastructure that operates efficiently under dynamic workloads and heterogeneous compute environments.
- Optimize distributed training performance across GPU clusters, improving throughput, resource utilization, and system stability.
- Collaborate with cross-team researchers on targeted system–algorithm co-design to translate research ideas into robust, production-grade implementations.
- Build tooling, monitoring, and debugging frameworks to ensure reliability and observability of large-scale RL training systems.

The base salary range for this position in the selected city is $244800 - $450000 annually.