Research Engineer – Agent Training Infrastructure (Seed Infra)
Seattle, Washington, United States of America
Full Time
5 hours ago
$198,360 - $416,100 USD
Key skills
AILLM
About this 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 - Design, implement, and maintain agent execution environments and runtime frameworks for multi-agent training at scale - Build and optimize infrastructure for RLHF pipelines, reward modeling, and distributed RL training - Manage and orchestrate many-agent parallel execution, including environment simulations and environment managers - Collaborate closely with research teams to support the LLM training pipeline: training → SFT → RLHF → evaluation → serving - Ensure high-performance, scalable, and fault-tolerant distributed systems for agent frameworks - Develop tools and libraries to monitor, debug, and benchmark agent training and inference - Translate research prototypes into production-ready infrastructure that can support large-scale AI experiments
The base salary range for this position in the selected city is $198360 - $416100 annually.